Triple
T4234107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South-Central Texas |
E94650
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object |
Frio County
Frio County is a rural county in Texas known for its agricultural economy, particularly cattle ranching and crop production, and its location southwest of San Antonio.
|
E498965
|
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: Frio County | Statement: [South-Central Texas, containsCounty, Frio County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frio County Context triple: [South-Central Texas, containsCounty, Frio County]
-
A.
Reeves County
Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
-
B.
Nolan County
Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
-
C.
Hudspeth County
Hudspeth County is a sparsely populated county in far West Texas known for its desert landscapes and proximity to the U.S.–Mexico border.
-
D.
McLennan County
McLennan County is a county in central Texas best known for encompassing the city of Waco, home to Baylor University.
-
E.
Atascosa County
Atascosa County is a largely rural county in southern Texas known for its agricultural economy and proximity to the San Antonio metropolitan area.
- 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: Frio County Triple: [South-Central Texas, containsCounty, Frio County]
Generated description
Frio County is a rural county in Texas known for its agricultural economy, particularly cattle ranching and crop production, and its location southwest of San Antonio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frio County Target entity description: Frio County is a rural county in Texas known for its agricultural economy, particularly cattle ranching and crop production, and its location southwest of San Antonio.
-
A.
Reeves County
Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
-
B.
Nolan County
Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
-
C.
Hudspeth County
Hudspeth County is a sparsely populated county in far West Texas known for its desert landscapes and proximity to the U.S.–Mexico border.
-
D.
McLennan County
McLennan County is a county in central Texas best known for encompassing the city of Waco, home to Baylor University.
-
E.
Atascosa County
chosen
Atascosa County is a largely rural county in southern Texas known for its agricultural economy and proximity to the San Antonio metropolitan area.
- F. None of above.
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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e6705548190b695b3789d713b4a |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee05440cc8190b0ab8d0c0811899b |
completed | March 21, 2026, 6:15 p.m. |
| NEDg | Description generation | batch_69bee60aff1081909a4b695bddd6a5f1 |
completed | March 21, 2026, 6:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6632d048190a8c793c288396a43 |
completed | March 21, 2026, 6:41 p.m. |
Created at: March 12, 2026, 11:05 p.m.