Triple

T20330708
Position Surface form Disambiguated ID Type / Status
Subject Shaw Boulevard E492470 entity
Predicate near P350 FINISHED
Object Greenfield District NE NERFINISHED

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: Greenfield District | Statement: [Shaw Boulevard, near, Greenfield District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenfield District
Context triple: [Shaw Boulevard, near, Greenfield District]
  • A. Greenfield District chosen
    Greenfield District is a mixed-use commercial and residential area in Mandaluyong, Metro Manila, known for its offices, malls, condominiums, and event spaces.
  • B. Laurel District
    The Laurel District is a vibrant, historically diverse commercial and residential neighborhood in Oakland, California, known for its independent shops, restaurants, and community events.
  • C. Niles District
    Niles District is a historic neighborhood in Fremont, California, known for its early silent film industry ties and preserved small-town charm.
  • D. Mason District
    Mason District is a magisterial district in Fairfax County, Virginia, encompassing several communities in the inner Washington, D.C. suburbs.
  • E. Creekside District
    Creekside District is a mixed-use urban area in Gahanna, Ohio, known for its riverfront park, shops, restaurants, and community events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e7baf481909282293d78597634 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.