Triple

T10015078
Position Surface form Disambiguated ID Type / Status
Subject Minot, Maine E199465 entity
Predicate near P350 FINISHED
Object Auburn, Maine E183802 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: Auburn, Maine | Statement: [Minot, Maine, near, Auburn, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auburn, Maine
Context triple: [Minot, Maine, near, Auburn, Maine]
  • A. Auburn, Maine chosen
    Auburn, Maine is a small city in south-central Maine known for its historic mill heritage along the Androscoggin River and its close association with neighboring Lewiston.
  • B. Oakland, Maine
    Oakland, Maine is a small town in central Maine known for its lakeside setting, residential character, and proximity to the city of Waterville.
  • C. Fairfield, Maine
    Fairfield, Maine is a small town in Somerset County known for its rural character, proximity to the Kennebec River, and role as part of the greater Waterville area in central Maine.
  • D. Madison, Maine
    Madison, Maine is a small town in central Maine known for its rural character, historic mill industry, and location along the Kennebec River.
  • E. Orono, Maine
    Orono, Maine is a small town in Penobscot County best known as the home of the University of Maine’s flagship campus.
  • 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_69f63ed654848190b53e8b64d81eb143 completed May 2, 2026, 6:13 p.m.
Created at: March 30, 2026, 8:52 p.m.