Triple

T1762257
Position Surface form Disambiguated ID Type / Status
Subject University of Maine E38682 entity
Predicate locatedIn P40 FINISHED
Object Orono, Maine E65873 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: Orono, Maine | Statement: [University of Maine, locatedIn, Orono, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orono, Maine
Context triple: [University of Maine, locatedIn, Orono, Maine]
  • A. Orono, Maine chosen
    Orono, Maine is a small town in Penobscot County best known as the home of the University of Maine’s flagship campus.
  • B. Gardiner, Maine
    Gardiner, Maine is a small historic city in central Maine located along the Kennebec River, known for its preserved downtown and 19th-century architecture.
  • C. 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.
  • D. Orono
    Orono is a suburban city in Minnesota known for its affluent residential communities and scenic location along the north shore of Lake Minnetonka.
  • E. Hallowell, Maine
    Hallowell, Maine is a small historic city on the Kennebec River known for its preserved 19th-century architecture, arts scene, and role in central Maine’s commercial and cultural life.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6463ac0081909e9ebe6ebf1db857 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69be393b31e081908b585a88a35d4c39 completed March 21, 2026, 6:22 a.m.
Created at: March 4, 2026, 7:31 p.m.