Triple
T5898535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazos Valley |
E131161
|
entity |
| Predicate | hasCountySeat |
P383
|
FINISHED |
| Object | Centerville, Texas |
E554593
|
NE FINISHED |
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: Centerville, Texas | Statement: [Brazos Valley, hasCountySeat, Centerville, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centerville, Texas Context triple: [Brazos Valley, hasCountySeat, Centerville, Texas]
-
A.
Centerville, Texas
chosen
Centerville, Texas is a small rural city that serves as the county seat of Leon County in eastern Central Texas.
-
B.
Clarksville, Texas
Clarksville, Texas is a small historic city in northeastern Texas known for its role as an early commercial and cultural center in the Red River region.
-
C.
Trenton, Texas
Trenton, Texas is a small rural city in North Texas known for its agricultural community and location within Fannin County.
-
D.
Cottonwood, Texas
Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
-
E.
Decatur, Texas
Decatur, Texas is a small North Texas city known as a regional hub for agriculture, ranching, and oil and gas activity 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 (3 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f7b3f48190a499d43f8ffb2fa7 |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c0076cd88190b10e51c52dcc6a2e |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:58 p.m.