Triple
T14969448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hockley County |
E373277
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Cochran County |
E394235
|
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: Cochran County | Statement: [Hockley County, hasBorderWith, Cochran County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cochran County Context triple: [Hockley County, hasBorderWith, Cochran County]
-
A.
Cochran County
chosen
Cochran County is a sparsely populated rural county in far west Texas known for its agriculture and location along the New Mexico border.
-
B.
Waller County
Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
-
C.
Donley County
Donley County is a rural county in the Texas Panhandle known for its ranching heritage, small communities, and wide-open High Plains landscapes.
-
D.
Ringgold County
Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
-
E.
Parmer County
Parmer County is a rural county in the western Texas Panhandle known for its agriculture-based economy and small, close-knit communities.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e44cb0819096e09f8026ef8174 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef888a7988190837f3f4b8d340e04 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 2:49 a.m.