Triple

T4233097
Position Surface form Disambiguated ID Type / Status
Subject Jeremiah O’Brien E94626 entity
Predicate placeOfActivity P1527 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: [Jeremiah O’Brien, placeOfActivity, Machias, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Machias, Maine
Context triple: [Jeremiah O’Brien, placeOfActivity, 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. Thorndike, Maine
    Thorndike, Maine is a small rural town located in Waldo County in the central part of the state.
  • C. 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.
  • D. Waterford, Maine
    Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
  • E. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e65720c819087c4022c774ff7c3 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4963545f481909ecc360480b1fc37 completed April 19, 2026, 8:45 a.m.
Created at: March 12, 2026, 11:05 p.m.