Triple

T2361470
Position Surface form Disambiguated ID Type / Status
Subject Butovskaya Line E47280 entity
Predicate interchangeStation P15892 FINISHED
Object Bitsevsky Park E259720 NE FINISHED

How this triple was built (2 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: Bitsevsky Park | Statement: [Butovskaya Line, interchangeStation, Bitsevsky Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitsevsky Park
Context triple: [Butovskaya Line, interchangeStation, Bitsevsky Park]
  • A. Bitsevsky Park chosen
    Bitsevsky Park is a station on the Moscow Metro serving the area near the large Bitsevskiy forest park in southern Moscow.
  • B. Schmul Park
    Schmul Park is a neighborhood park on Staten Island, New York City, that serves as a community recreation space and gateway to the larger Freshkills Park project.
  • C. Petrovsky Park
    Petrovsky Park is a historic green space in Moscow known for its 19th-century Petrovsky Palace and proximity to major sports and cultural venues.
  • D. Leopold Park
    Leopold Park is a historic public park in Brussels known for its landscaped gardens, ponds, and proximity to major European Union institutions.
  • E. St. Nicholas Park
    St. Nicholas Park is a public park in Harlem, Manhattan, known for its hilly terrain, views of the city, and proximity to City College of New York.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc723c66481908a9b94991f651b3b completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3c5c4b881909ad3223206fb2940 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:55 p.m.