Triple

T10569843
Position Surface form Disambiguated ID Type / Status
Subject Portland metropolitan area E249448 entity
Predicate containsTown P847 FINISHED
Object Standish, Maine E445065 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: Standish, Maine | Statement: [Portland metropolitan area, containsTown, Standish, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standish, Maine
Context triple: [Portland metropolitan area, containsTown, Standish, Maine]
  • A. Standish, Maine chosen
    Standish, Maine is a small town in southern Maine known for its rural character, lakeside recreation on Sebago Lake, and proximity to the Portland metropolitan area.
  • B. 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.
  • C. Addison, Maine
    Addison, Maine is a small coastal town in Washington County known for its fishing heritage and scenic Downeast shoreline.
  • D. Greenfield, Maine
    Greenfield, Maine is a small rural town located in Penobscot County in the central part of the state.
  • E. Howland, Maine
    Howland, Maine is a small rural town in Penobscot County known for its location along the Penobscot and Piscataquis Rivers and its outdoor recreation opportunities.
  • 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_69ffa11c81f481909129eef69e47d079 completed May 9, 2026, 9:03 p.m.
Created at: April 6, 2026, 12:37 p.m.