Triple

T10057917
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 114 E208908 entity
Predicate passesThrough P225 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: [Maine State Route 114, passesThrough, Standish, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standish, Maine
Context triple: [Maine State Route 114, passesThrough, 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfaf7700819084dedf7b63e789c1 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f671788ec88190852df74698bc4518 completed May 2, 2026, 9:49 p.m.
Created at: March 30, 2026, 8:57 p.m.