Triple

T10680989
Position Surface form Disambiguated ID Type / Status
Subject Bridgton Hospital E251753 entity
Predicate locatedIn P40 FINISHED
Object Bridgton, Maine E50651 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: Bridgton, Maine | Statement: [Bridgton Hospital, locatedIn, Bridgton, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridgton, Maine
Context triple: [Bridgton Hospital, locatedIn, Bridgton, Maine]
  • A. Bridgton, Maine chosen
    Bridgton, Maine is a small resort and lake town in western Maine known for its outdoor recreation, historic downtown, and proximity to the Lakes Region and ski areas.
  • B. Buxton, Maine
    Buxton, Maine is a small New England town in York County known for its rural character and proximity to the Portland metropolitan area.
  • C. Bridgewater, Maine
    Bridgewater, Maine is a small rural town in northern Maine known for its agricultural landscape and location near the Canadian border.
  • D. Dixfield, Maine
    Dixfield, Maine is a small New England town in western Maine known for its rural character and location along the Androscoggin River in Oxford County.
  • E. Burnham, Maine
    Burnham, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc1b8d4819082fde22db39d8b24 completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007d960bd08190b8ac366273646865 completed May 10, 2026, 12:44 p.m.
Created at: April 8, 2026, 9:10 p.m.