Triple
T19397232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonner County |
E485222
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Latah 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: Latah County | Statement: [Bonner County, borders, Latah County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Latah County Context triple: [Bonner County, borders, Latah County]
-
A.
Latah County
chosen
Latah County is a county in north-central Idaho known for its agricultural landscape and as home to the University of Idaho in the city of Moscow.
-
B.
Sherman County
Sherman County is a sparsely populated rural county in the far northern part of the Texas Panhandle, known for its agriculture and wide-open High Plains landscape.
-
C.
Sherman County
Sherman County is a rural county in central Nebraska known for its agricultural landscape and small communities.
-
D.
Blaine County
Blaine County is a county in central Idaho known for encompassing the resort city of Sun Valley and its surrounding mountainous, outdoor recreation areas.
-
E.
Blaine County
Blaine County is a rural county in northwestern Oklahoma known for its agricultural economy and small-town communities.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62573f5788190a635b92121db2cf7 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.