Triple

T12641220
Position Surface form Disambiguated ID Type / Status
Subject Ayala station E301901 entity
Predicate nearbyPlace P2064 FINISHED
Object Greenbelt E452452 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: Greenbelt | Statement: [Ayala station, nearbyPlace, Greenbelt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenbelt
Context triple: [Ayala station, nearbyPlace, Greenbelt]
  • A. Greenbelt chosen
    Greenbelt is a prominent upscale shopping, dining, and lifestyle complex located in the central business district of Makati in Metro Manila, Philippines.
  • B. Greenbelt
    Greenbelt is a vast network of forests, trails, and natural areas on Staten Island that serves as one of New York City's largest and most significant urban park preserves.
  • C. Greenbelt, Maryland
    Greenbelt, Maryland is a planned community and city in the Washington, D.C. metropolitan area, originally developed in the 1930s as part of President Franklin D. Roosevelt’s New Deal.
  • D. City of Greenbelt
    The City of Greenbelt is a planned municipality in Maryland known for its New Deal–era design, cooperative community roots, and stewardship of the Greenbelt Historic District.
  • E. Elkridge
    Elkridge is an unincorporated community in central Maryland known for its historic sites and proximity to major transportation routes near Baltimore and Washington, D.C.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614ae6ac8190b42acbf2b0331fda completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687770388190b4777885dae8a38f completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:17 p.m.