Triple

T11999576
Position Surface form Disambiguated ID Type / Status
Subject Ayala Avenue E285620 entity
Predicate hasLandmark P105 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 Avenue, hasLandmark, Greenbelt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenbelt
Context triple: [Ayala Avenue, hasLandmark, 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634515d20819094c9bc4f2c7cda8a completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:46 p.m.