Triple

T9221609
Position Surface form Disambiguated ID Type / Status
Subject Battery Place E221372 entity
Predicate near P350 FINISHED
Object Bowling Green E97404 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: Bowling Green | Statement: [Battery Place, near, Bowling Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bowling Green
Context triple: [Battery Place, near, Bowling Green]
  • A. Bowling Green chosen
    Bowling Green is a small public park and historic site in Lower Manhattan, New York City, known as the city’s oldest park and for its proximity to the Financial District and Wall Street.
  • B. Bowling Green
    Bowling Green is a small historic town in eastern Virginia that serves as the administrative and commercial center of Caroline County.
  • C. Bowling Green, Ohio
    Bowling Green, Ohio is a small city in northwest Ohio best known as the home of Bowling Green State University and its vibrant college-town community.
  • D. Bowling Green, Kentucky
    Bowling Green, Kentucky is a city in south-central Kentucky best known as the home of the Chevrolet Corvette’s manufacturing plant and the National Corvette Museum.
  • E. Syracuse
    Syracuse is a mid-sized city in central New York State known for Syracuse University, its role as a regional economic and cultural hub, and its snowy winters.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda76e3648190af9e24381db7679a completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0779651588190a00179dec66bc228 completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:28 p.m.