Triple

T2843874
Position Surface form Disambiguated ID Type / Status
Subject New Haven County E62535 entity
Predicate containsTown P847 FINISHED
Object North Haven E303314 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: North Haven | Statement: [New Haven County, containsTown, North Haven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Haven
Context triple: [New Haven County, containsTown, North Haven]
  • A. North Haven
    North Haven is a coastal town in New South Wales, Australia, known for its beaches and relaxed seaside lifestyle.
  • B. 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.
  • C. Rockland–North Haven
    Rockland–North Haven is a Maine State Ferry Service route connecting the mainland port of Rockland with the island community of North Haven in Penobscot Bay.
  • D. Kennebunkport
    Kennebunkport is a coastal resort town in southern Maine known for its historic charm, beaches, and long association with the Bush family.
  • E. Sea Isle City
    Sea Isle City is a coastal resort town on the Jersey Shore in New Jersey, known for its beaches, promenade, and seasonal tourism.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1a07508190be35fe85733ddeed completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d7c84e8819098089bd1c6874189 completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:02 p.m.