Triple

T17834823
Position Surface form Disambiguated ID Type / Status
Subject Dartmouth, Massachusetts E445353 entity
Predicate hasSubdivision P747 FINISHED
Object North Dartmouth 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: North Dartmouth | Statement: [Dartmouth, Massachusetts, hasSubdivision, North Dartmouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Dartmouth
Context triple: [Dartmouth, Massachusetts, hasSubdivision, North Dartmouth]
  • A. North Dartmouth, Massachusetts chosen
    North Dartmouth, Massachusetts is a village and primary commercial and residential hub within the town of Dartmouth in Bristol County.
  • B. Wereham
    Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
  • C. South Dartmouth, Massachusetts
    South Dartmouth, Massachusetts is a coastal village within the town of Dartmouth known for its historic waterfront, scenic beaches, and New England residential character.
  • D. Fairhaven
    Fairhaven is a historic coastal town in southeastern Massachusetts known for its picturesque harbor, rich maritime heritage, and well-preserved 19th-century architecture.
  • E. Fairhaven
    Fairhaven is a small coastal community located on Deer Island in New Brunswick, Canada.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d271e4481909664897cb789fe4a completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.