Triple
T20365737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grant County, Arkansas |
E496902
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Grant County |
E1436697
|
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: Grant County | Statement: [Grant County, Arkansas, hasOfficialName, Grant County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grant County Context triple: [Grant County, Arkansas, hasOfficialName, Grant County]
-
A.
Grant County
Grant County is a county in central Washington State known for its agricultural production, reservoirs, and outdoor recreation areas.
-
B.
Grant County
Grant County is a rural county in eastern West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
-
C.
Grant County
Grant County is a county in east-central Indiana known for its small towns, agricultural landscape, and historical ties to figures like James Dean.
-
D.
Grant County
chosen
Grant County is a county in the U.S. state of Arkansas, known for its rural communities and location within the Central Arkansas region.
-
E.
Mason County
Mason County is a rural county in central Texas known for its ranching, hunting, and the historic town of Mason.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67871bfdc8190948c46497cd675c9 |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09472b348481909bce17b1777d6bfd |
completed | May 17, 2026, 4:42 a.m. |
Created at: April 16, 2026, 11:26 a.m.