Triple

T17834824
Position Surface form Disambiguated ID Type / Status
Subject Dartmouth, Massachusetts E445353 entity
Predicate hasSubdivision P747 FINISHED
Object South 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: South Dartmouth | Statement: [Dartmouth, Massachusetts, hasSubdivision, South Dartmouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Dartmouth
Context triple: [Dartmouth, Massachusetts, hasSubdivision, South Dartmouth]
  • A. South Dartmouth, Massachusetts chosen
    South Dartmouth, Massachusetts is a coastal village within the town of Dartmouth known for its historic waterfront, scenic beaches, and New England residential character.
  • B. Eastney
    Eastney is a coastal suburb located at the eastern end of Portsmouth on Portsea Island in Hampshire, England.
  • C. North Dartmouth, Massachusetts
    North Dartmouth, Massachusetts is a village and primary commercial and residential hub within the town of Dartmouth in Bristol County.
  • D. South Weymouth
    South Weymouth is a residential neighborhood and village within the town of Weymouth, Massachusetts, known for its suburban character and local commercial centers.
  • E. Wereham
    Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
  • 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.