Triple

T2318646
Position Surface form Disambiguated ID Type / Status
Subject Hampden, Maine E51123 entity
Predicate adjacentTo P224 FINISHED
Object Newburgh, Maine E102739 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: Newburgh, Maine | Statement: [Hampden, Maine, adjacentTo, Newburgh, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newburgh, Maine
Context triple: [Hampden, Maine, adjacentTo, Newburgh, Maine]
  • A. Newburgh, Maine chosen
    Newburgh, Maine is a small rural town in central Maine known for its agricultural character and quiet residential community.
  • B. Bradford, Maine
    Bradford, Maine is a small rural town in central Maine known for its quiet, forested landscape and traditional New England character.
  • C. Mapleton, Maine
    Mapleton, Maine is a small rural town in northern Maine known for its agricultural landscape and location within Aroostook County.
  • D. Trenton, Maine
    Trenton, Maine is a small coastal town in Hancock County that serves as a gateway to Mount Desert Island and Acadia National Park.
  • E. Woodville, Maine
    Woodville, Maine is a small rural town located in Penobscot County in the central part of the state.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62fa60c8190b4859ce296ea4177 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69c67c2b4f188190a78b591674040060 completed March 27, 2026, 12:46 p.m.
Created at: March 4, 2026, 7:49 p.m.