Triple

T3529093
Position Surface form Disambiguated ID Type / Status
Subject Waldo County, Maine E74613 entity
Predicate hasTown P847 FINISHED
Object Winterport, Maine E598681 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: Winterport, Maine | Statement: [Waldo County, Maine, hasTown, Winterport, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winterport, Maine
Context triple: [Waldo County, Maine, hasTown, Winterport, Maine]
  • A. Winterport, Maine chosen
    Winterport, Maine is a small town in Waldo County known for its rural character and location along the Penobscot River in eastern Maine.
  • B. Waterville, Maine
    Waterville, Maine is a small city in central Maine known for hosting Colby College and its historic mill and riverfront downtown along the Kennebec River.
  • C. Rockport, Maine
    Rockport, Maine is a coastal town in Knox County known for its picturesque harbor, maritime heritage, and vibrant arts community.
  • D. Porter, Maine
    Porter, Maine is a small rural town in Oxford County known for its scenic setting near the New Hampshire border and its traditional New England character.
  • E. Searsmont, Maine
    Searsmont, Maine is a small rural town in Waldo County known for its forests, lakes, and traditional New England 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6e9188819093480b39f263ce75 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d60d24c6dc819088332a512940a9c8 completed April 8, 2026, 8:09 a.m.
Created at: March 8, 2026, 3:19 p.m.