Triple

T11869495
Position Surface form Disambiguated ID Type / Status
Subject Rattlesnake Mountains E282368 entity
Predicate accessFrom P1985 FINISHED
Object city of Missoula E44244 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: city of Missoula | Statement: [Rattlesnake Mountains, accessFrom, city of Missoula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Missoula
Context triple: [Rattlesnake Mountains, accessFrom, city of Missoula]
  • A. Missoula chosen
    Missoula is a vibrant city in western Montana known for its university, outdoor recreation, and cultural scene.
  • B. Livingston, Montana
    Livingston, Montana is a historic small town in southwestern Montana known for its scenic Yellowstone River setting, Old West charm, and role as a filming location for several notable movies.
  • C. Havre, Montana
    Havre, Montana is a small northern Montana city near the Canadian border that serves as a regional commercial and transportation hub on the Hi-Line.
  • D. 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.
  • E. Miles City, Montana
    Miles City, Montana is a small historic city in southeastern Montana known as a regional ranching and agricultural center near the confluence of the Tongue and Yellowstone Rivers.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73c04e4819084c0b2ff8e5d2f04 completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417bb131c8190b0923e077cca74be completed May 1, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:43 p.m.