Triple

T20770289
Position Surface form Disambiguated ID Type / Status
Subject Teton County, Montana E511209 entity
Predicate hasSettlement P1068 FINISHED
Object Power, Montana 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: Power, Montana | Statement: [Teton County, Montana, hasSettlement, Power, Montana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Power, Montana
Context triple: [Teton County, Montana, hasSettlement, Power, Montana]
  • A. Power, Montana chosen
    Power, Montana is a small rural community in Teton County that lies within the Great Falls metropolitan area in north-central Montana.
  • B. Sweetgrass, Montana
    Sweetgrass, Montana is a small unincorporated community in northern Montana that serves as a key border crossing point between the United States and Canada.
  • C. Monarch, Montana
    Monarch, Montana is a small unincorporated community in Cascade County located in the Little Belt Mountains of central Montana.
  • D. Plains, Montana
    Plains, Montana is a small rural town in western Montana known for its scenic Clark Fork River valley setting and role as a local service and transportation hub.
  • E. Jordan, Montana
    Jordan, Montana is a small rural town in Garfield County that serves as a gateway to the wide-open ranchlands and badlands of eastern Montana.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c265f7dc8190a084e35d38d2783a completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.