Triple

T11896139
Position Surface form Disambiguated ID Type / Status
Subject Fort Knox (Maine) E283038 entity
Predicate near P350 FINISHED
Object Bucksport, 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: Bucksport, Maine | Statement: [Fort Knox (Maine), near, Bucksport, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bucksport, Maine
Context triple: [Fort Knox (Maine), near, Bucksport, Maine]
  • A. Bucksport, Maine chosen
    Bucksport, Maine is a small historic town on the Penobscot River known for its waterfront, views of Fort Knox, and role as a former mill and shipbuilding community.
  • B. Burnham, Maine
    Burnham, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
  • C. Waterford, Maine
    Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
  • D. Newburgh, Maine
    Newburgh, Maine is a small rural town in central Maine known for its agricultural character and quiet residential community.
  • E. Berwick, Maine
    Berwick, Maine is a small New England town in southern Maine known for its rural character, historic mill village roots, and location along the Salmon Falls River opposite Somersworth, New Hampshire.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1286808190949719f54ff49a01 completed April 10, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:44 p.m.