Triple

T7349806
Position Surface form Disambiguated ID Type / Status
Subject University of Maine at Augusta E169468 entity
Predicate locatedIn P40 FINISHED
Object Augusta, Maine E2670 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: Augusta, Maine | Statement: [University of Maine at Augusta, locatedIn, Augusta, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Augusta, Maine
Context triple: [University of Maine at Augusta, locatedIn, Augusta, Maine]
  • A. Augusta, Maine chosen
    Augusta, Maine is a small city in the northeastern United States known as the capital of the state of Maine and situated along the Kennebec River.
  • B. Portland, Maine
    Portland, Maine is a coastal New England city known for its historic Old Port district, vibrant arts and food scenes, and working waterfront on Casco Bay.
  • C. Hartford, Maine
    Hartford, Maine is a small rural town in Oxford County known for its forests, lakes, and quiet residential character in western Maine.
  • D. Biddeford, Maine
    Biddeford, Maine is a historic mill city in York County known for its revitalized downtown along the Saco River and its role as a regional economic and educational center.
  • E. Bangor, Maine
    Bangor, Maine is a small city in eastern Maine known as a regional commercial and cultural hub and famously associated with author Stephen King.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f107b88c81908bb5f8deb40ab70b completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8276a812c8190891df68bd79d79bd completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:05 p.m.