Triple
T15482146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nolan County |
E376944
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Scurry County |
E306911
|
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: Scurry County | Statement: [Nolan County, borderedBy, Scurry County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scurry County Context triple: [Nolan County, borderedBy, Scurry County]
-
A.
Scurry County
chosen
Scurry County is a county in western Texas known for its oil production, agriculture, and county seat of Snyder.
-
B.
Comanche County
Comanche County is a county in southwestern Oklahoma, United States, known for encompassing the city of Lawton and parts of the Fort Sill military installation.
-
C.
Kerr County
Kerr County is a rural county in central Texas known for its scenic Hill Country landscapes, outdoor recreation, and the county seat of Kerrville.
-
D.
Swisher County
Swisher County is a rural county in the Texas Panhandle known for its agriculture-based economy and small-town communities.
-
E.
Bandera County
Bandera County is a rural county in south-central Texas known for its scenic Hill Country landscapes and its reputation as the “Cowboy Capital of the World.”
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8cb4388190a3b4c92c3bb4ad4f |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232399008190b23dfaec237563ef |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 3:38 a.m.