Triple
T12658883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burns, Oregon |
E302361
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Harney County |
E218022
|
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: Harney County | Statement: [Burns, Oregon, county, Harney County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harney County Context triple: [Burns, Oregon, county, Harney County]
-
A.
Harney County
chosen
Harney County is a sparsely populated county in southeastern Oregon known for its vast high desert landscapes, ranching, and wildlife refuges.
-
B.
Eureka County
Eureka County is a sparsely populated rural county in north-central Nevada known for its mining history and wide expanses of high desert landscape.
-
C.
Treasure County
Treasure County is a sparsely populated rural county in south-central Montana known for its agricultural landscape along the Yellowstone River.
-
D.
Lander County
Lander County is a sparsely populated, rural county in north-central Nevada known for its mining history and wide expanses of high desert and mountain terrain.
-
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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961636db8819099c438b24bcfd866 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66885e44c8190a650301b0e86d0f4 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:19 p.m.