Triple

T8090883
Position Surface form Disambiguated ID Type / Status
Subject Sabattus, Maine E188856 entity
Predicate adjacentToTown P44955 FINISHED
Object Wales, Maine E152562 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: Wales, Maine | Statement: [Sabattus, Maine, adjacentToTown, Wales, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wales, Maine
Context triple: [Sabattus, Maine, adjacentToTown, Wales, Maine]
  • A. Wales, Maine chosen
    Wales, Maine is a small rural town in Androscoggin County known for its quiet residential character and proximity to the Lewiston–Auburn area.
  • B. Wales, Massachusetts
    Wales, Massachusetts is a small rural town in south-central Massachusetts known for its quiet residential character and location near the Connecticut border.
  • C. Cornish, Maine
    Cornish, Maine is a small New England town known for its historic village center, antique shops, and scenic location in southwestern Maine.
  • D. Westmanland, Maine
    Westmanland, Maine is a small rural town located in northern Maine within Aroostook County.
  • E. Freedom, Maine
    Freedom, Maine is a small rural town in central Maine known for its scenic countryside and tight-knit community.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421fb8348190b6495394d498d3f4 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640a42648190bc1a3072eb338e22 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:29 p.m.