Triple
T8985517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingsville, Texas |
E214652
|
entity |
| Predicate | isCountySeatOf |
P383
|
FINISHED |
| Object | Kleberg County |
E848980
|
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: Kleberg County | Statement: [Kingsville, Texas, isCountySeatOf, Kleberg County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleberg County Context triple: [Kingsville, Texas, isCountySeatOf, Kleberg County]
-
A.
Kleberg County
chosen
Kleberg County is a South Texas county along the Gulf Coast, known for encompassing the city of Kingsville and much of the historic King Ranch.
-
B.
Reeves County
Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
-
C.
Briscoe County
Briscoe County is a rural county in the Texas Panhandle known for its agricultural economy and proximity to the scenic Caprock Canyons region.
-
D.
Hudspeth County
Hudspeth County is a sparsely populated county in far West Texas known for its desert landscapes and proximity to the U.S.–Mexico border.
-
E.
Cameron County
Cameron County is a sparsely populated, heavily forested rural county in north-central Pennsylvania known for its outdoor recreation and wildlife.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67eddbf08190afca16e0be435241 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d561b3c7c08190a2212b685f436093 |
completed | April 7, 2026, 7:57 p.m. |
Created at: March 30, 2026, 7:03 p.m.