Triple
T15159520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gray County |
E362169
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Donley County |
E391970
|
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: Donley County | Statement: [Gray County, borders, Donley County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donley County Context triple: [Gray County, borders, Donley County]
-
A.
Donley County
chosen
Donley County is a rural county in the Texas Panhandle known for its ranching heritage, small communities, and wide-open High Plains landscapes.
-
B.
Waller County
Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
-
C.
Cottle County
Cottle County is a sparsely populated rural county in north-central Texas known for its ranching, agriculture, and small-town communities.
-
D.
Craighead County
Craighead County is a county in northeastern Arkansas that includes the city of Jonesboro and serves as part of a regional hub for education, healthcare, and commerce.
-
E.
Burnet County
Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060dd71881908ecc4a4f52d438a5 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9976bc888190a050c2502d1f8e81 |
completed | May 9, 2026, 8:30 p.m. |
Created at: April 10, 2026, 3:08 a.m.