Triple
T8949803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eagle Pass, Texas |
E213316
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object |
Maverick County
Maverick County is a county in southwest Texas along the U.S.–Mexico border, with Eagle Pass as its county seat and largest city.
|
E848869
|
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: Maverick County | Statement: [Eagle Pass, Texas, county, Maverick County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maverick County Context triple: [Eagle Pass, Texas, county, Maverick County]
-
A.
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.
-
B.
Swisher County
Swisher County is a rural county in the Texas Panhandle known for its agriculture-based economy and small-town communities.
-
C.
Lamb County
Lamb County is a rural county in northwestern Texas known for its agriculture-based economy and small communities on the High Plains.
-
D.
Nolan County
Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
-
E.
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.
- 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: Maverick County Triple: [Eagle Pass, Texas, county, Maverick County]
Generated description
Maverick County is a county in southwest Texas along the U.S.–Mexico border, with Eagle Pass as its county seat and largest city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maverick County Target entity description: Maverick County is a county in southwest Texas along the U.S.–Mexico border, with Eagle Pass as its county seat and largest city.
-
A.
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.
-
B.
Swisher County
Swisher County is a rural county in the Texas Panhandle known for its agriculture-based economy and small-town communities.
-
C.
Lamb County
Lamb County is a rural county in northwestern Texas known for its agriculture-based economy and small communities on the High Plains.
-
D.
Nolan County
Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
-
E.
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.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670b5f50819080f1c73992fe5281 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d5087b394c8190baa1ef5dbc92a0c8 |
completed | April 7, 2026, 1:36 p.m. |
| NEDg | Description generation | batch_69d5094b4068819081fec50eb6a69236 |
completed | April 7, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d509b03ea481909bfc0d8b80def6dc |
completed | April 7, 2026, 1:42 p.m. |
Created at: March 30, 2026, 6:59 p.m.