Triple

T16334640
Position Surface form Disambiguated ID Type / Status
Subject BART Orange Line E396644 entity
Predicate servesCity P82 FINISHED
Object Hayward E19635 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: Hayward | Statement: [BART Orange Line, servesCity, Hayward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayward
Context triple: [BART Orange Line, servesCity, Hayward]
  • A. Hayward chosen
    Hayward is a mid-sized city in the San Francisco Bay Area known for its diverse population, industrial and logistics hubs, and role as a transportation crossroads in Alameda County.
  • B. Hayward
    Hayward is a surname shared by various notable individuals across fields such as the arts, sports, and public life.
  • C. Atherton
    Atherton is an affluent residential town in San Mateo County, California, known for its large estates and high property values.
  • D. Atherton
    Atherton is a small town in Queensland, Australia, known as a service and commercial hub for the surrounding Atherton Tablelands agricultural region.
  • E. Atherton
    Atherton is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage and residential communities.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e29db88190936a07deb5b1c1e3 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002dabc89481908005f5b2060abded completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.