Triple

T3114752
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 26 E65035 entity
Predicate passesThrough P225 FINISHED
Object Newry, Maine E504302 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: Newry, Maine | Statement: [Maine State Route 26, passesThrough, Newry, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newry, Maine
Context triple: [Maine State Route 26, passesThrough, Newry, Maine]
  • A. Newry, Maine chosen
    Newry, Maine is a small town in western Maine known for its outdoor recreation opportunities, including proximity to ski areas and scenic mountain landscapes.
  • 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. Newfield, Maine
    Newfield, Maine is a small rural town in southwestern Maine known for its forests, lakes, and historic village character.
  • D. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • E. Fairfield, Maine
    Fairfield, Maine is a small town in Somerset County known for its rural character, proximity to the Kennebec River, and role as part of the greater Waterville area in 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43dca688190ab041554220c5271 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca6d6a17b4819089eafc70ecc1f786 completed March 30, 2026, 12:32 p.m.
Created at: March 8, 2026, 3:04 p.m.