Triple
T20531990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deer Lodge |
E504091
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Deer Lodge County |
—
|
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: Deer Lodge County | Statement: [Deer Lodge, locatedIn, Deer Lodge County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deer Lodge County Context triple: [Deer Lodge, locatedIn, Deer Lodge County]
-
A.
Deer Lodge County
chosen
Deer Lodge County is a county in southwestern Montana known for its historic mining communities and the city of Anaconda.
-
B.
Slope County
Slope County is a sparsely populated county in southwestern North Dakota known for containing White Butte, the state’s highest natural point.
-
C.
Kiowa County
Kiowa County is a sparsely populated rural county in the High Plains of southeastern Colorado, known for its agricultural economy and wide-open prairie landscapes.
-
D.
Rosebud County, Montana
Rosebud County, Montana is a largely rural county in southeastern Montana known for its ranching, coal mining, and inclusion of much of the Northern Cheyenne Indian Reservation.
-
E.
Custer County
Custer County is a county in southwestern South Dakota known for its Black Hills scenery, outdoor recreation, and attractions such as Custer State Park and the Crazy Horse Memorial.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06c709881908ef0995426a58759 |
completed | April 20, 2026, 9:53 p.m. |
Created at: April 16, 2026, 11:37 a.m.