Triple

T14764596
Position Surface form Disambiguated ID Type / Status
Subject Turner, Maine E346960 entity
Predicate hasVillage P4011 FINISHED
Object Turner Village, Maine E194209 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: Turner Village, Maine | Statement: [Turner, Maine, hasVillage, Turner Village, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turner Village, Maine
Context triple: [Turner, Maine, hasVillage, Turner Village, Maine]
  • A. Turner, Maine chosen
    Turner, Maine is a small rural town in the western part of the state known for its agricultural character and scenic setting along the Androscoggin River.
  • B. Mount Vernon, Maine
    Mount Vernon, Maine is a small rural town in central Maine known for its lakes, forests, and outdoor recreation, located within Kennebec County.
  • C. Woodville, Maine
    Woodville, Maine is a small rural town located in Penobscot County in the central part of the state.
  • D. Montville, Maine
    Montville, Maine is a small rural town in central Maine known for its forests, farms, and quiet, scenic countryside.
  • E. Castle Hill, Maine
    Castle Hill, 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f3a1608190b1b17624003a0c7f completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388aeb9c819099a987a819959479 completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:30 a.m.