Triple
T2332973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missoula |
E44244
|
entity |
| Predicate | isCountySeatOf |
P383
|
FINISHED |
| Object | Missoula County |
E262043
|
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: Missoula County | Statement: [Missoula, isCountySeatOf, Missoula County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Missoula County Context triple: [Missoula, isCountySeatOf, Missoula County]
-
A.
Missoula County
chosen
Missoula County is a county in western Montana known for its university town of Missoula, outdoor recreation, and surrounding mountain landscapes.
-
B.
Prowers County
Prowers County is a rural county in southeastern Colorado known for its agricultural economy and location along the Arkansas River near the Kansas border.
-
C.
Kootenai County
Kootenai County is a county in northern Idaho known for its lakeside city of Coeur d’Alene, outdoor recreation, and role as a regional hub in the Inland Northwest.
-
D.
Culberson County
Culberson County is a sparsely populated county in far western Texas known for its desert landscapes and the Guadalupe Mountains, including the highest peak in the state.
-
E.
Mineral County
Mineral County is a rural county in western Nevada known for its mining history, desert landscapes, and the Hawthorne Army Depot.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc66d7ea081908867ff494b70df1e |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf2ae2c4819083403236e27d4b5e |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 4, 2026, 7:51 p.m.