Triple
T21343733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frio County, Texas |
E526271
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Pearsall, Texas |
—
|
NE NERFINISHED |
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: Pearsall, Texas | Statement: [Frio County, Texas, largestCity, Pearsall, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pearsall, Texas Context triple: [Frio County, Texas, largestCity, Pearsall, Texas]
-
A.
Pearsall, Texas
chosen
Pearsall, Texas is a small city in South Texas that serves as an agricultural and oilfield service hub along Interstate 35.
-
B.
Pettit, Texas
Pettit, Texas is a small unincorporated rural community located in Hale County in the Texas High Plains region.
-
C.
Maypearl, Texas
Maypearl, Texas is a small rural city in North Texas known for its close-knit community and agricultural surroundings southwest of Dallas.
-
D.
Purves, Texas
Purves, Texas is a small rural unincorporated community located in Erath County in north-central Texas.
-
E.
Peaster, Texas
Peaster, Texas is a small unincorporated rural community in Parker County known for its close-knit character and local school system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a8515bc48190b79f80e505550cd5 |
completed | April 22, 2026, 10:52 a.m. |
Created at: April 16, 2026, 4:44 p.m.