Triple
T2300532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Panhandle |
E51719
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object |
Briscoe County
Briscoe County is a rural county in the Texas Panhandle known for its agricultural economy and proximity to the scenic Caprock Canyons region.
|
E372206
|
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: Briscoe County | Statement: [Texas Panhandle, hasCounty, Briscoe County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briscoe County Context triple: [Texas Panhandle, hasCounty, Briscoe County]
-
A.
Burnet County
Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
-
B.
Swisher County
Swisher County is a rural county in the Texas Panhandle known for its agriculture-based economy and small-town communities.
-
C.
Gray County
Gray County is a rural county in the Texas Panhandle best known for its oil industry and county seat, Pampa.
-
D.
Hansford County
Hansford County is a rural county in the far northern Texas Panhandle known for its agriculture-based economy and small, sparsely populated communities.
-
E.
Dallam County
Dallam County is a sparsely populated rural county in the far northwestern corner of the Texas Panhandle, known for its agricultural economy and wide-open High Plains landscape.
- 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: Briscoe County Triple: [Texas Panhandle, hasCounty, Briscoe County]
Generated description
Briscoe County is a rural county in the Texas Panhandle known for its agricultural economy and proximity to the scenic Caprock Canyons region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Briscoe County Target entity description: Briscoe County is a rural county in the Texas Panhandle known for its agricultural economy and proximity to the scenic Caprock Canyons region.
-
A.
Burnet County
Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
-
B.
Swisher County
Swisher County is a rural county in the Texas Panhandle known for its agriculture-based economy and small-town communities.
-
C.
Gray County
Gray County is a rural county in the Texas Panhandle best known for its oil industry and county seat, Pampa.
-
D.
Hansford County
Hansford County is a rural county in the far northern Texas Panhandle known for its agriculture-based economy and small, sparsely populated communities.
-
E.
Dallam County
Dallam County is a sparsely populated rural county in the far northwestern corner of the Texas Panhandle, known for its agricultural economy and wide-open High Plains landscape.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5edc1348190a4d84606b1310711 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402a702a081909319ba32990fa010 |
completed | March 13, 2026, 12:27 p.m. |
| NEDg | Description generation | batch_69b40335a05c8190b51414f284bd6429 |
completed | March 13, 2026, 12:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b40a6bd4888190a26989e5f6770e2c |
completed | March 13, 2026, 1 p.m. |
Created at: March 4, 2026, 7:49 p.m.