Triple

T14135437
Position Surface form Disambiguated ID Type / Status
Subject Shaw Boulevard station E350281 entity
Predicate nearby P350 FINISHED
Object Greenfield District E956962 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: Greenfield District | Statement: [Shaw Boulevard station, nearby, Greenfield District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenfield District
Context triple: [Shaw Boulevard station, nearby, 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. Mason District
    Mason District is a magisterial district in Fairfax County, Virginia, encompassing several communities in the inner Washington, D.C. suburbs.
  • D. Creekside District
    Creekside District is a mixed-use urban area in Gahanna, Ohio, known for its riverfront park, shops, restaurants, and community events.
  • E. Mustang District
    Mustang District is a remote, mountainous district in north-central Nepal known for its arid trans-Himalayan landscapes, Tibetan-influenced culture, and historic walled city of Lo Manthang.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610e949c8190852d336c9d12bfd0 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf14439c81908b2a9999a35cc346 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:05 a.m.