Triple
T15885216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riesel Independent School District |
E385174
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Riesel, 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: Riesel, Texas | Statement: [Riesel Independent School District, serves, Riesel, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riesel, Texas Context triple: [Riesel Independent School District, serves, Riesel, Texas]
-
A.
Riesel, Texas
chosen
Riesel, Texas is a small rural city in Central Texas located southeast of Waco.
-
B.
Rosenberg, Texas
Rosenberg, Texas is a growing suburban city in Fort Bend County that forms part of the greater Houston metropolitan area.
-
C.
Rosser, Texas
Rosser, Texas is a small rural village located in Kaufman County within the Dallas–Fort Worth metropolitan area.
-
D.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
E.
Richwood, Texas
Richwood, Texas is a small city in Brazoria County that forms part of the Greater Houston metropolitan region.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561997bc8190a40e7d68defbbddd |
completed | April 16, 2026, 9:35 p.m. |
Created at: April 10, 2026, 4:51 a.m.