Triple

T19972976
Position Surface form Disambiguated ID Type / Status
Subject Frank W. Benson E480123 entity
Predicate workLocation P7 FINISHED
Object North Haven, Maine 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 Haven, Maine | Statement: [Frank W. Benson, workLocation, North Haven, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Haven, Maine
Context triple: [Frank W. Benson, workLocation, North Haven, Maine]
  • A. North Haven, Maine chosen
    North Haven, Maine is a small island town in Penobscot Bay known for its scenic coastal landscapes, fishing heritage, and seasonal tourism.
  • B. North Haven, Connecticut
    North Haven, Connecticut is a suburban town in New Haven County known for its residential neighborhoods, industrial and corporate parks, and proximity to New Haven and Yale University.
  • C. North Haven, New York
    North Haven, New York is a small, affluent residential village on Long Island’s South Fork, known for its waterfront properties and proximity to the Hamptons.
  • D. North Haven
    North Haven is a coastal town in New South Wales, Australia, known for its beaches and relaxed seaside lifestyle.
  • E. North Haven
    North Haven is a coastal suburb in Adelaide, South Australia, known for its marina, beaches, and residential communities.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bca94c0819095c902a411c4c4b8 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.