Triple

T20903788
Position Surface form Disambiguated ID Type / Status
Subject Tambov E514739 entity
Predicate isAdministrativeCenterOf P1474 FINISHED
Object Tambovsky District (de facto, though not part of it)
Tambovsky District (de facto, though not part of it) is an administrative district in Tambov Oblast, Russia, whose functions are effectively centered in the city of Tambov despite the city not being formally included within the district’s territory.
E1456843 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tambovsky District (de facto, though not part of it) | Statement: [Tambov, isAdministrativeCenterOf, Tambovsky District (de facto, though not part of it)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tambovsky District (de facto, though not part of it)
Context triple: [Tambov, isAdministrativeCenterOf, Tambovsky District (de facto, though not part of it)]
  • A. Azovsky District (de facto, though not part of it)
    Azovsky District (de facto, though not part of it) is an administrative district in Russia’s Rostov Oblast that is functionally centered on the city of Azov, despite the city being administratively separate from the district itself.
  • B. Vologodsky District (de facto, while not part of it)
    Vologodsky District (de facto, while not part of it) is a municipal district in Vologda Oblast, Russia, whose administrative functions are centered in the city of Vologda even though the city itself is administratively separate from the district.
  • C. Tyumen District (de facto, without being part of it)
    Tyumen District (de facto, without being part of it) is a municipal district in Tyumen Oblast, Russia, whose administrative functions are centered in the city of Tyumen even though the city is administratively separate from the district.
  • D. Nizhnevartovsky District (de facto, while not part of it)
    Nizhnevartovsky District (de facto, while not part of it) is a municipal district in Khanty-Mansi Autonomous Okrug, Russia, for which the city of Nizhnevartovsk functions as the administrative center despite being administratively separate from the district itself.
  • E. Chitinsky District (de facto)
    Chitinsky District (de facto) is an administrative district in Zabaykalsky Krai, Russia, for which the city of Chita serves as the administrative center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tambovsky District (de facto, though not part of it)
Triple: [Tambov, isAdministrativeCenterOf, Tambovsky District (de facto, though not part of it)]
Generated description
Tambovsky District (de facto, though not part of it) is an administrative district in Tambov Oblast, Russia, whose functions are effectively centered in the city of Tambov despite the city not being formally included within the district’s territory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tambovsky District (de facto, though not part of it)
Target entity description: Tambovsky District (de facto, though not part of it) is an administrative district in Tambov Oblast, Russia, whose functions are effectively centered in the city of Tambov despite the city not being formally included within the district’s territory.
  • A. Azovsky District (de facto, though not part of it)
    Azovsky District (de facto, though not part of it) is an administrative district in Russia’s Rostov Oblast that is functionally centered on the city of Azov, despite the city being administratively separate from the district itself.
  • B. Vologodsky District (de facto, while not part of it)
    Vologodsky District (de facto, while not part of it) is a municipal district in Vologda Oblast, Russia, whose administrative functions are centered in the city of Vologda even though the city itself is administratively separate from the district.
  • C. Tyumen District (de facto, without being part of it)
    Tyumen District (de facto, without being part of it) is a municipal district in Tyumen Oblast, Russia, whose administrative functions are centered in the city of Tyumen even though the city is administratively separate from the district.
  • D. Nizhnevartovsky District (de facto, while not part of it)
    Nizhnevartovsky District (de facto, while not part of it) is a municipal district in Khanty-Mansi Autonomous Okrug, Russia, for which the city of Nizhnevartovsk functions as the administrative center despite being administratively separate from the district itself.
  • E. Chitinsky District (de facto)
    Chitinsky District (de facto) is an administrative district in Zabaykalsky Krai, Russia, for which the city of Chita serves as the administrative center.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8fe4b808190bbc1bbde7a11f283 completed April 21, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0918d86e0c8190b72886c8eefeee7f completed May 17, 2026, 1:24 a.m.
NEDg Description generation batch_6a091aa1c728819086154d9975acb981 completed May 17, 2026, 1:32 a.m.
NED2 Entity disambiguation (via description) batch_6a091b17eec481908b0da1432856efbf completed May 17, 2026, 1:34 a.m.
Created at: April 16, 2026, 12:47 p.m.