Triple

T2045410
Position Surface form Disambiguated ID Type / Status
Subject Paris, Maine E45438 entity
Predicate adjacentTo P224 FINISHED
Object Hebron, Maine E205639 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: Hebron, Maine | Statement: [Paris, Maine, adjacentTo, Hebron, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hebron, Maine
Context triple: [Paris, Maine, adjacentTo, Hebron, Maine]
  • A. Hebron, Maine chosen
    Hebron, Maine is a small rural town in western Maine known for its scenic landscape and as the home of the private preparatory school Hebron Academy.
  • B. Hollis, Maine
    Hollis, Maine is a small rural town in southern Maine known for its residential character and location along the Saco River in York County.
  • C. Harrison, Maine
    Harrison, Maine is a small town in western Maine known for its lakeside setting and recreational opportunities in Oxford County.
  • D. Newburgh, Maine
    Newburgh, Maine is a small rural town in central Maine known for its agricultural character and quiet residential community.
  • E. Mapleton, Maine
    Mapleton, Maine is a small rural town in northern Maine known for its agricultural landscape and location within Aroostook County.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9728f688190939d7c4df524f9b4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69bff4a84e5881908df112c3a405bbde completed March 22, 2026, 1:54 p.m.
Created at: March 4, 2026, 7:39 p.m.