Triple

T10015085
Position Surface form Disambiguated ID Type / Status
Subject Minot, Maine E199465 entity
Predicate region P40 FINISHED
Object southwestern Maine E48893 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: southwestern Maine | Statement: [Minot, Maine, region, southwestern Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: southwestern Maine
Context triple: [Minot, Maine, region, southwestern Maine]
  • A. northwestern Maine
    Northwestern Maine is a sparsely populated, heavily forested region of the state known for its rugged terrain, outdoor recreation, and proximity to the Canadian border.
  • B. western Maine
    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.
  • 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. Midcoast Maine
    Midcoast Maine is a scenic coastal region of Maine known for its rocky shoreline, historic harbor towns, and maritime heritage.
  • E. Southern Maine chosen
    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.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd49b19c8190b429e3533d072648 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a8f6f3081909310e28725d31f7e completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:52 p.m.