Triple

T3529092
Position Surface form Disambiguated ID Type / Status
Subject Waldo County, Maine E74613 entity
Predicate hasTown P847 FINISHED
Object Waldo, Maine E849198 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: Waldo, Maine | Statement: [Waldo County, Maine, hasTown, Waldo, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waldo, Maine
Context triple: [Waldo County, Maine, hasTown, Waldo, Maine]
  • A. Winslow, Maine
    Winslow, Maine is a small town in Kennebec County known for its rural character, historic sites, and location along the Kennebec River in central Maine.
  • B. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • C. Baldwin, Maine
    Baldwin, Maine is a small rural town in Cumberland County known for its scenic landscapes and proximity to the western Maine mountains.
  • D. Thorndike, Maine chosen
    Thorndike, Maine is a small rural town located in Waldo County in the central part of the state.
  • E. Howland, Maine
    Howland, Maine is a small rural town in Penobscot County known for its location along the Penobscot and Piscataquis Rivers and its outdoor recreation opportunities.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6e9188819093480b39f263ce75 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d5ffe43c488190b60ea41922211d53 completed April 8, 2026, 7:12 a.m.
Created at: March 8, 2026, 3:19 p.m.