Triple

T19791145
Position Surface form Disambiguated ID Type / Status
Subject Bay Area freeway system E475410 entity
Predicate connects P390 FINISHED
Object Hayward 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: Hayward | Statement: [Bay Area freeway system, connects, Hayward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayward
Context triple: [Bay Area freeway system, connects, 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 town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage and residential communities.
  • E. Atherton
    Atherton is a small town in Queensland, Australia, known as a service and commercial hub for the surrounding Atherton Tablelands agricultural region.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c217bc819092c517b27ca22087 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.