Triple

T5220131
Position Surface form Disambiguated ID Type / Status
Subject Western Montana E117849 entity
Predicate hasCity P316 FINISHED
Object Whitefish E504087 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: Whitefish | Statement: [Western Montana, hasCity, Whitefish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitefish
Context triple: [Western Montana, hasCity, Whitefish]
  • A. Whitefish chosen
    Whitefish is a small resort city in northwestern Montana known for its proximity to Glacier National Park and the Whitefish Mountain ski area.
  • B. Polson
    Polson is a small city in northwestern Montana known as a gateway to Flathead Lake and the surrounding scenic recreational areas.
  • C. Coeur d'Alene
    Coeur d'Alene is a resort city in northern Idaho known for its scenic lake, outdoor recreation, and role as a regional tourism and economic hub.
  • D. Kitgum
    Kitgum is a town in northern Uganda that serves as a regional center and gateway to nearby wildlife and conservation areas.
  • E. Selawik
    Selawik is a small Inupiat community in northwest Alaska known for its subsistence lifestyle and location near the Selawik National Wildlife Refuge.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ab846548190bcd2c5cd238f6cd9 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe5e0d4c819095ea8b185754394e completed March 21, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:48 p.m.