Triple

T620937
Position Surface form Disambiguated ID Type / Status
Subject Farmington, Maine E14510 entity
Predicate region P40 FINISHED
Object western Maine E41374 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: western Maine | Statement: [Farmington, Maine, region, western Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: western Maine
Context triple: [Farmington, Maine, region, western Maine]
  • A. western Maine chosen
    Western Maine is a largely rural, mountainous region of Maine known for its forests, lakes, and outdoor recreation areas, including parts of the Appalachian Mountains.
  • B. Northern Maine
    Northern Maine is a sparsely populated, heavily forested region of the state known for its potato farming, outdoor recreation, and long, harsh winters.
  • C. eastern Maine
    Eastern Maine is a largely rural region of the state of Maine centered around the city of Bangor, which serves as its primary economic and cultural hub.
  • D. Southern Maine
    Southern Maine is the coastal and largely rural southern portion of the U.S. state of Maine, encompassing its most populous cities and economic centers.
  • E. central Maine
    Central Maine is a largely rural region of the state characterized by small towns, forests, lakes, and serving as a transitional area between the more urban south and the northern wilderness.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e3e5d80819096e72e11b533f931 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563c682f88190a2af1087246be4c4 completed March 2, 2026, 10:17 a.m.
Created at: March 1, 2026, 7:35 p.m.