Triple
T20537803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flathead County |
E504245
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Whitefish |
—
|
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: Whitefish | Statement: [Flathead County, contains, Whitefish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitefish Context triple: [Flathead County, contains, 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.
Tyonek
Tyonek is a small Alaska Native village located on the northwest shore of Cook Inlet in southcentral Alaska.
-
C.
Polson
Polson is a small city in northwestern Montana known as a gateway to Flathead Lake and the surrounding scenic recreational areas.
-
D.
Nikiski
Nikiski is a small unincorporated community and industrial hub on Alaska’s Kenai Peninsula, known for its oil and gas facilities along the Cook Inlet coast.
-
E.
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.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a29006008190aa1ee3224c75ff4b |
completed | April 20, 2026, 10:02 p.m. |
Created at: April 16, 2026, 11:37 a.m.