Triple
T5220127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Montana |
E117849
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Kalispell |
E187410
|
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: Kalispell | Statement: [Western Montana, hasCity, Kalispell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalispell Context triple: [Western Montana, hasCity, Kalispell]
-
A.
Kalispell
chosen
Kalispell is a small city in northwestern Montana that serves as a major gateway and service hub for visitors to Glacier National Park and the surrounding Rocky Mountain region.
-
B.
Hamilton, Montana
Hamilton, Montana is a small city in the Bitterroot Valley that serves as the economic and cultural hub of Ravalli County in western Montana.
-
C.
Missoula
Missoula is a vibrant city in western Montana known for its university, outdoor recreation, and cultural scene.
-
D.
Polson
Polson is a small city in northwestern Montana known as a gateway to Flathead Lake and the surrounding scenic recreational areas.
-
E.
Bozeman
Bozeman is a rapidly growing city in southwestern Montana known for its outdoor recreation, proximity to Yellowstone National Park, and Montana State University.
- 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_69bf21a819f08190a67a92d8afa82e22 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:48 p.m.