Triple

T12238351
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 160 E291660 entity
Predicate passesThrough P225 FINISHED
Object Limerick, Maine NE NERFINISHED

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: Limerick, Maine | Statement: [Maine State Route 160, passesThrough, Limerick, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limerick, Maine
Context triple: [Maine State Route 160, passesThrough, Limerick, Maine]
  • A. Limerick, Maine chosen
    Limerick, Maine is a small rural town in southwestern Maine known for its historic village center and scenic lakes and forests.
  • 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. Eliot, Maine
    Eliot, Maine is a small New England town in southern Maine known for its rural character, historic charm, and location along the Piscataqua River near the New Hampshire border.
  • D. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • E. Liberty, Maine
    Liberty, Maine is a small rural town in Waldo County known for its scenic lakes, forests, and outdoor recreation opportunities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb45340819093365f8efdf85f75 completed April 10, 2026, 3:52 p.m.
Created at: April 8, 2026, 9:51 p.m.