Triple

T10899328
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 302 E257395 entity
Predicate passesThrough P225 FINISHED
Object Naples, 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: Naples, Maine | Statement: [U.S. Route 302, passesThrough, Naples, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naples, Maine
Context triple: [U.S. Route 302, passesThrough, Naples, Maine]
  • A. Naples, Maine chosen
    Naples, Maine is a small resort town in the Lakes Region of western Maine known for its waterfront recreation on Long Lake and Brandy Pond.
  • B. Palermo, Maine
    Palermo, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
  • C. Waterford, Maine
    Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
  • D. Winslow, Maine
    Winslow, Maine is a small town in Kennebec County known for its rural character, historic sites, and location along the Kennebec River in central Maine.
  • E. Northport, Maine
    Northport, Maine is a small coastal town in Waldo County known for its scenic Penobscot Bay shoreline and historic summer community of Bayside.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a2392c8190bc2c2359d63eff7a completed April 9, 2026, 8:21 a.m.
Created at: April 8, 2026, 9:21 p.m.