Triple

T7057750
Position Surface form Disambiguated ID Type / Status
Subject Werribee line E164136 entity
Predicate formerTerminus P388 FINISHED
Object Williamstown E572831 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: Williamstown | Statement: [Werribee line, formerTerminus, Williamstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Williamstown
Context triple: [Werribee line, formerTerminus, Williamstown]
  • A. Williamstown chosen
    Williamstown is a historic coastal suburb of Melbourne, Australia, known for its maritime heritage, waterfront views, and proximity to Port Phillip Bay.
  • B. Williamstown
    Williamstown is a historic rural community in eastern Ontario, Canada, known for its heritage buildings and annual Williamstown Fair, one of the oldest agricultural fairs in the country.
  • C. Williamstown, Massachusetts
    Williamstown, Massachusetts is a small New England town best known as the home of Williams College and for its scenic location in the Berkshire Mountains.
  • D. Newport
    Newport is a coastal city in Oregon known for its fishing industry, marine science centers, and scenic Pacific shoreline.
  • E. Newport
    Newport is the former name of Parkersburg, a city located along the Ohio River in western West Virginia.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e26a130c81908bdad15f5c4ae15d completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a316374c81908deeb60b8f58a3c8 completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2:38 p.m.