Triple

T10057923
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 114 E208908 entity
Predicate connectsCommunity P12608 FINISHED
Object Scarborough, Maine E368770 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: Scarborough, Maine | Statement: [Maine State Route 114, connectsCommunity, Scarborough, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scarborough, Maine
Context triple: [Maine State Route 114, connectsCommunity, Scarborough, Maine]
  • A. Scarborough, Maine chosen
    Scarborough, Maine is a coastal town in southern Maine known for its beaches, marshlands, and proximity to the city of Portland.
  • B. Waterford, Maine
    Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
  • C. Searsmont, Maine
    Searsmont, Maine is a small rural town in Waldo County known for its forests, lakes, and traditional New England character.
  • D. Sanford, Maine
    Sanford, Maine is a city in York County known for its historic textile mill heritage and its location in southern Maine near the New Hampshire border.
  • 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_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_69f69b76e0cc8190aa7303347e0183d4 completed May 3, 2026, 12:48 a.m.
Created at: March 30, 2026, 8:57 p.m.