Triple
T12327202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerr County |
E293861
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Kimble County |
E1001416
|
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: Kimble County | Statement: [Kerr County, borders, Kimble County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimble County Context triple: [Kerr County, borders, Kimble County]
-
A.
Kimble County
chosen
Kimble County is a rural county located on the Edwards Plateau in central Texas, known for its ranching, hunting, and scenic Hill Country landscapes.
-
B.
Mitchell County
Mitchell County is a rural county in west-central Texas known for its ranching, wind energy production, and the city of Colorado City as its county seat.
-
C.
Burleigh County
Burleigh County is a county in central North Dakota that includes Bismarck, the state capital and its largest city.
-
D.
Cleburne County
Cleburne County is a rural county in eastern Alabama known for its mountainous terrain and inclusion of part of the Talladega National Forest.
-
E.
Toombs County
Toombs County is a rural county in southeastern Georgia known for its agriculture, particularly Vidalia onions, and its county seat, Lyons.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4f90a881908c5060dd197744d1 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a533a2788190b885c000c29f4e87 |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 8, 2026, 9:53 p.m.