Triple

T10569852
Position Surface form Disambiguated ID Type / Status
Subject Portland metropolitan area E249448 entity
Predicate containsTown P847 FINISHED
Object Arundel, Maine E525686 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: Arundel, Maine | Statement: [Portland metropolitan area, containsTown, Arundel, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arundel, Maine
Context triple: [Portland metropolitan area, containsTown, Arundel, Maine]
  • A. Arundel, Maine chosen
    Arundel, Maine is a small town in York County known for its rural character and proximity to the popular coastal resort community of Kennebunkport.
  • B. Hollis, Maine
    Hollis, Maine is a small rural town in southern Maine known for its residential character and location along the Saco River in York County.
  • C. Burnham, Maine
    Burnham, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
  • D. Searsmont, Maine
    Searsmont, Maine is a small rural town in Waldo County known for its forests, lakes, and traditional New England character.
  • E. Rockwood, Maine
    Rockwood, Maine is a small unincorporated community and popular outdoor recreation gateway on the western shore of Moosehead Lake in north-central Maine.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52730fd4481908b3f4eb80ca209f2 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffe46175b88190ae687073ddaa3d22 completed May 10, 2026, 1:50 a.m.
Created at: April 6, 2026, 12:37 p.m.