Triple
T15482143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nolan County |
E376944
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Runnels County
Runnels County is a rural county in west-central Texas known for its agricultural economy and small-town communities.
|
E1193372
|
NE FINISHED |
How this triple was built (4 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: Runnels County | Statement: [Nolan County, borderedBy, Runnels County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runnels County Context triple: [Nolan County, borderedBy, Runnels County]
-
A.
Kimble County
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.
Wilkinson County
Wilkinson County is a county in central Georgia, United States, known for its rural character and early 19th-century origins.
-
C.
Burke County
Burke County is a largely rural county in eastern Georgia known for its agricultural landscape and small towns such as Sardis and Waynesboro.
-
D.
Turner County
Turner County is a rural county in southeastern South Dakota that forms part of the Sioux Falls metropolitan region.
-
E.
Garvin County
Garvin County is a county in south-central Oklahoma known for its agricultural economy, small towns, and location within the state's oil and gas region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Runnels County Triple: [Nolan County, borderedBy, Runnels County]
Generated description
Runnels County is a rural county in west-central Texas known for its agricultural economy and small-town communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Runnels County Target entity description: Runnels County is a rural county in west-central Texas known for its agricultural economy and small-town communities.
-
A.
Kimble County
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.
Wilkinson County
Wilkinson County is a county in central Georgia, United States, known for its rural character and early 19th-century origins.
-
C.
Burke County
Burke County is a largely rural county in eastern Georgia known for its agricultural landscape and small towns such as Sardis and Waynesboro.
-
D.
Turner County
Turner County is a rural county in southeastern South Dakota that forms part of the Sioux Falls metropolitan region.
-
E.
Garvin County
Garvin County is a county in south-central Oklahoma known for its agricultural economy, small towns, and location within the state's oil and gas region.
- F. None of above. chosen
Provenance (5 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_69ffe46436048190b79d1d18a179617b |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe5ced2dc8190922b910d1a6c08d3 |
completed | May 10, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe687c204819092a4a8de0b9d624d |
completed | May 10, 2026, 1:59 a.m. |
Created at: April 10, 2026, 3:38 a.m.