Triple

T10698365
Position Surface form Disambiguated ID Type / Status
Subject Northern Massachusetts E252203 entity
Predicate hasTown P847 FINISHED
Object Lunenburg E1826 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: Lunenburg | Statement: [Northern Massachusetts, hasTown, Lunenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lunenburg
Context triple: [Northern Massachusetts, hasTown, Lunenburg]
  • A. Lunenburg chosen
    Lunenburg is a small town in north-central Massachusetts known for its residential character and proximity to commuter rail service into the Boston area.
  • B. Lunenburg
    Lunenburg is a historic coastal town in eastern Canada renowned for its colorful waterfront, shipbuilding heritage, and UNESCO World Heritage–listed Old Town.
  • C. Lunenburg
    Lunenburg is a small rural community in eastern Ontario, Canada, situated within the Township of South Stormont.
  • D. Williamsburg, Massachusetts
    Williamsburg, Massachusetts is a small rural town in western Massachusetts known for its historic mill village character and location within the scenic Pioneer Valley region.
  • E. Williamstown
    Williamstown is a historic coastal suburb of Melbourne, Australia, known for its maritime heritage, waterfront views, and proximity to Port Phillip Bay.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8a03848190bf68dd470bee103a completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998e447e0819098e839e9e121a21f completed April 11, 2026, 12:42 a.m.
Created at: April 8, 2026, 9:12 p.m.