Triple

T17295560
Position Surface form Disambiguated ID Type / Status
Subject Chelyabinsk Oblast E419900 entity
Predicate hasCity P316 FINISHED
Object Troitsk
Troitsk is a historic industrial city in Russia located near the border with Kazakhstan, known for its trade routes and diverse cultural heritage.
E1325265 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: Troitsk | Statement: [Chelyabinsk Oblast, hasCity, Troitsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troitsk
Context triple: [Chelyabinsk Oblast, hasCity, Troitsk]
  • A. Troitskoye
    Troitskoye is a rural locality in Russia that serves as the main administrative hub of Nanaysky District in Khabarovsk Krai.
  • B. Novotroitsk
    Novotroitsk is an industrial city in Russia known for its metallurgical industry and location near the Ural Mountains.
  • C. Noginsk
    Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
  • D. Romashkovo
    Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
  • E. Troparevo
    Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
  • 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: Troitsk
Triple: [Chelyabinsk Oblast, hasCity, Troitsk]
Generated description
Troitsk is a historic industrial city in Russia located near the border with Kazakhstan, known for its trade routes and diverse cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Troitsk
Target entity description: Troitsk is a historic industrial city in Russia located near the border with Kazakhstan, known for its trade routes and diverse cultural heritage.
  • A. Troitskoye
    Troitskoye is a rural locality in Russia that serves as the main administrative hub of Nanaysky District in Khabarovsk Krai.
  • B. Novotroitsk
    Novotroitsk is an industrial city in Russia known for its metallurgical industry and location near the Ural Mountains.
  • C. Noginsk
    Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
  • D. Romashkovo
    Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
  • E. Troparevo
    Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437875b208190bcf0df2ded546257 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a040fc34f4c8190a1ae536e544b2543 completed May 13, 2026, 5:44 a.m.
NEDg Description generation batch_6a04123430308190af22a11b2151c8b8 completed May 13, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_6a04131eb4988190af4024bfcad648bc completed May 13, 2026, 5:58 a.m.
Created at: April 10, 2026, 5:40 a.m.