Triple
T11869457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rattlesnake Mountains |
E282368
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Missoula, Montana |
E44244
|
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, Montana | Statement: [Rattlesnake Mountains, locatedNear, Missoula, Montana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Missoula, Montana Context triple: [Rattlesnake Mountains, locatedNear, Missoula, Montana]
-
A.
Missoula
chosen
Missoula is a vibrant city in western Montana known for its university, outdoor recreation, and cultural scene.
-
B.
Livingston, Montana
Livingston, Montana is a historic small town in southwestern Montana known for its scenic Yellowstone River setting, Old West charm, and role as a filming location for several notable movies.
-
C.
Bozeman
Bozeman is a rapidly growing city in southwestern Montana known for its outdoor recreation, proximity to Yellowstone National Park, and Montana State University.
-
D.
Butte, Montana
Butte, Montana is a historic mining city in southwestern Montana known for its rich copper-mining heritage and well-preserved Old West character.
-
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 (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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73c04e4819084c0b2ff8e5d2f04 |
completed | April 10, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281a2abfc8190a4769e637dedaaab |
completed | April 29, 2026, 10:09 p.m. |
Created at: April 8, 2026, 9:43 p.m.