Triple
T18674579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bastrop, Texas |
E456566
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Bastrop County |
—
|
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: Bastrop County | Statement: [Bastrop, Texas, county, Bastrop County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bastrop County Context triple: [Bastrop, Texas, county, Bastrop County]
-
A.
Bastrop County, Texas
chosen
Bastrop County, Texas is a central Texas county known for its historic town of Bastrop, pine forests, and proximity to the Austin metropolitan area.
-
B.
Hays County
Hays County is a rapidly growing county in Central Texas, located just southwest of Austin and known for its Hill Country landscapes and suburban communities.
-
C.
Borden County
Borden County is a sparsely populated rural county in western Texas known for its ranching economy and wide-open plains.
-
D.
Hood County
Hood County is a county in north-central Texas known for its seat in Granbury and its recreational lakefront areas, including Lake Granbury.
-
E.
Gillespie County
Gillespie County is a central Texas county known for its scenic Hill Country landscapes, German heritage, and the historic town of Fredericksburg.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b4e390819091ad9dd118ca1f4f |
completed | April 19, 2026, 10:27 p.m. |
Created at: April 10, 2026, 11:48 a.m.