Triple

T18623910
Position Surface form Disambiguated ID Type / Status
Subject Butte City, Idaho E455227 entity
Predicate hasOfficialName P66 FINISHED
Object Butte City NE NERFINISHED

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: Butte City | Statement: [Butte City, Idaho, hasOfficialName, Butte City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butte City
Context triple: [Butte City, Idaho, hasOfficialName, Butte City]
  • A. Butte City
    Butte City is a small rural community located in Glenn County in the northern part of California.
  • B. Butte
    Butte is a small census-designated community in the Matanuska-Susitna Borough of Alaska, known for its rural character and proximity to Palmer and the Matanuska River.
  • C. Butte, Montana
    Butte, Montana is a historic mining city in southwestern Montana known for its rich copper-mining heritage and well-preserved Old West character.
  • D. Butte City, Idaho chosen
    Butte City, Idaho is a small rural town in eastern Idaho known for its historic ties to regional mining and agriculture.
  • E. Missoula
    Missoula is a vibrant city in western Montana known for its university, outdoor recreation, and cultural scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f02dc248190a82341eeb2473593 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.