Triple

T10667940
Position Surface form Disambiguated ID Type / Status
Subject University of Maine at Machias E251406 entity
Predicate locatedIn P40 FINISHED
Object Machias, Maine E841362 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: Machias, Maine | Statement: [University of Maine at Machias, locatedIn, Machias, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Machias, Maine
Context triple: [University of Maine at Machias, locatedIn, Machias, Maine]
  • A. Machias, Maine chosen
    Machias, Maine is a small coastal town in Down East Maine known for its historic role in the American Revolution and as a regional service and educational center.
  • B. Hope, Maine
    Hope, Maine is a small rural town in coastal Knox County known for its scenic lakes, rolling hills, and quiet New England character.
  • C. Thorndike, Maine
    Thorndike, Maine is a small rural town located in Waldo County in the central part of the state.
  • D. Porter, Maine
    Porter, Maine is a small rural town in Oxford County known for its scenic setting near the New Hampshire border and its traditional New England character.
  • E. Waterford, Maine
    Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f860790c81909c2c1d3c489ec5b4 completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c405ecc81909722377a22db84a5 completed May 10, 2026, 8:05 a.m.
Created at: April 8, 2026, 9:08 p.m.