Triple
T17481718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East-Central Texas |
E425675
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Bryan, 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: Bryan, Texas | Statement: [East-Central Texas, hasCity, Bryan, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bryan, Texas Context triple: [East-Central Texas, hasCity, Bryan, Texas]
-
A.
Bryan, Texas
chosen
Bryan, Texas is a mid-sized city in the Brazos Valley region of East-Central Texas, known for its close association with neighboring College Station and the Texas A&M University community.
-
B.
Briscoe, Texas
Briscoe, Texas is a small unincorporated rural community located in Wheeler County in the Texas Panhandle.
-
C.
Bonney, Texas
Bonney, Texas is a small village in Brazoria County that forms part of the Greater Houston metropolitan region.
-
D.
Brownfield, Texas
Brownfield, Texas is a small West Texas city in Terry County known for its agriculture, particularly cotton and peanut farming, and its location within the South Plains region.
-
E.
Boyd, Texas
Boyd, Texas is a small town in Wise County known for its rural character and role as a local community hub northwest of the Dallas–Fort Worth metroplex.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bfd75481908c20bc2c1cbff593 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.