Triple

T22062976
Position Surface form Disambiguated ID Type / Status
Subject Flathead Valley E545197 entity
Predicate hasNearbyCity P350 FINISHED
Object Columbia Falls 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: Columbia Falls | Statement: [Flathead Valley, hasNearbyCity, Columbia Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbia Falls
Context triple: [Flathead Valley, hasNearbyCity, Columbia Falls]
  • A. Columbia Falls chosen
    Columbia Falls is a small city in northwestern Montana known as a gateway community to Glacier National Park and the Flathead Valley.
  • B. Custer, Washington
    Custer, Washington is a small unincorporated community in Whatcom County in the northwestern part of the U.S. state of Washington, near the Canadian border.
  • C. Haines
    Haines is a minor but memorable character in James Joyce’s novel "Ulysses," known as an English intellectual whose behavior highlights tensions between Irish nationalism and British colonial attitudes.
  • D. Haines
    Haines is a small historic town in northeastern Oregon known for its preserved Old West character and agricultural heritage.
  • E. Haines
    Haines is the surname of American television host and journalist Sara Haines, known for her work on shows like "The View" and "Good Morning America."
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285e8c688190b701e417893cc148 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.