Triple
T22062928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hi-Line Subdivision |
E545196
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Whitefish, 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: Whitefish, Montana | Statement: [Hi-Line Subdivision, connects, Whitefish, Montana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitefish, Montana Context triple: [Hi-Line Subdivision, connects, Whitefish, Montana]
-
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.
Libby, Montana
Libby, Montana is a small northwestern Montana town known for its scenic setting near the Kootenai National Forest and its history of logging and mining.
-
C.
Colstrip, Montana
Colstrip, Montana is a small city in Rosebud County best known as a major coal-mining and coal-fired power generation community in eastern Montana.
-
D.
Great Falls, Montana
Great Falls, Montana is a mid-sized city in north-central Montana known for its series of waterfalls on the Missouri River and its role as a regional economic and cultural center.
-
E.
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.
- 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.