Triple

T18843762
Position Surface form Disambiguated ID Type / Status
Subject Zielona Góra County E460861 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Babimost
Babimost is a small town in western Poland known for its regional airport and location within the Lubusz Voivodeship.
E1346179 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: Babimost | Statement: [Zielona Góra County, containsAdministrativeTerritorialEntity, Babimost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babimost
Context triple: [Zielona Góra County, containsAdministrativeTerritorialEntity, Babimost]
  • A. Ivangrad
    Ivangrad is the former name of the Montenegrin town now known as Berane, located in the northeastern part of the country.
  • B. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • C. Mozhaisk
    Mozhaisk is a historic town in Moscow Oblast, Russia, known for its strategic military importance as a western defensive outpost for Moscow and its notable architectural and cultural heritage.
  • D. Zhulebino
    Zhulebino is a station on the Moscow Metro system, serving the residential Zhulebino district in the southeastern part of Moscow.
  • E. Bibirevo
    Bibirevo is a Moscow Metro station serving the Bibirevo District in the north of the city.
  • 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: Babimost
Triple: [Zielona Góra County, containsAdministrativeTerritorialEntity, Babimost]
Generated description
Babimost is a small town in western Poland known for its regional airport and location within the Lubusz Voivodeship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Babimost
Target entity description: Babimost is a small town in western Poland known for its regional airport and location within the Lubusz Voivodeship.
  • A. Ivangrad
    Ivangrad is the former name of the Montenegrin town now known as Berane, located in the northeastern part of the country.
  • B. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • C. Mozhaisk
    Mozhaisk is a historic town in Moscow Oblast, Russia, known for its strategic military importance as a western defensive outpost for Moscow and its notable architectural and cultural heritage.
  • D. Zhulebino
    Zhulebino is a station on the Moscow Metro system, serving the residential Zhulebino district in the southeastern part of Moscow.
  • E. Bibirevo
    Bibirevo is a Moscow Metro station serving the Bibirevo District in the north of the city.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8ec8c5c8190b15e6394d0018573 completed April 20, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a056771ae7481909f8ae1ea8a00f559 completed May 14, 2026, 6:10 a.m.
NEDg Description generation batch_6a056f5d7c68819095e8dc260e15a9d9 completed May 14, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_6a056fddc2f88190b1e57896292fe6af completed May 14, 2026, 6:46 a.m.
Created at: April 10, 2026, 11:56 a.m.