Triple

T13783825
Position Surface form Disambiguated ID Type / Status
Subject Orono Public Library E331200 entity
Predicate operatedBy P86 FINISHED
Object Town of 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: Town of Orono, Maine | Statement: [Orono Public Library, operatedBy, Town of Orono, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Orono, Maine
Context triple: [Orono Public Library, operatedBy, Town of 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. Orrington, Maine
    Orrington, Maine is a small town in Penobscot County known for its rural character and proximity to the Penobscot River and the city of Bangor.
  • C. Buckfield, Maine
    Buckfield, Maine is a small rural town in western Maine known for its historic village center and location within Androscoggin County.
  • D. Oxford, Maine
    Oxford, Maine is a small town in Oxford County known for its rural character, outdoor recreation, and the Oxford Plains Speedway.
  • E. Springfield, Maine
    Springfield, Maine is a small rural town located in Penobscot County in eastern Maine, known for its forested landscape and quiet, sparsely populated setting.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0247ccc881908dad7b547221f15d completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e3642481908a9b84d8d71fb4d4 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:11 p.m.