Triple

T797932
Position Surface form Disambiguated ID Type / Status
Subject Berkshire County E17062 entity
Predicate containsTown P847 FINISHED
Object Williamstown E89108 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: [Berkshire County, containsTown, Williamstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Williamstown
Context triple: [Berkshire County, containsTown, Williamstown]
  • A. Williamstown, Massachusetts chosen
    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.
  • B. Newport
    Newport is a leading menthol cigarette brand in the United States, known for its strong market presence and association with menthol-flavored tobacco products.
  • C. Newport
    Newport is the principal town and administrative center of the Isle of Wight, located near the middle of the island in southern England.
  • D. Newport
    Newport is a major city in South Wales known as an important industrial and port center on the River Usk.
  • E. Lunenburg
    Lunenburg is a small town in north-central Massachusetts known for its residential character and proximity to commuter rail service into the Boston area.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b342888190a344fe81a2c9f33c completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd46422408190911e6eaec5866fe8 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:38 p.m.