Triple

T10314661
Position Surface form Disambiguated ID Type / Status
Subject Denmark, Maine E241984 entity
Predicate borders P224 FINISHED
Object Brownfield, Maine E50025 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: Brownfield, Maine | Statement: [Denmark, Maine, borders, Brownfield, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brownfield, Maine
Context triple: [Denmark, Maine, borders, Brownfield, Maine]
  • A. Brownfield, Maine chosen
    Brownfield, Maine is a small rural town in western Maine known for its scenic landscapes, outdoor recreation, and proximity to the White Mountains.
  • B. Shapleigh, Maine
    Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
  • C. Newfield, Maine
    Newfield, Maine is a small rural town in southwestern Maine known for its forests, lakes, and historic village character.
  • D. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • E. Readfield, Maine
    Readfield, Maine is a small rural town in central Maine known for its lakes, outdoor recreation, and quiet residential 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d35b7c688190b68613f28b5511bc completed April 7, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c1d31048190ab0a8d8e00515211 completed May 8, 2026, 2:36 a.m.
Created at: April 6, 2026, 11:48 a.m.