Triple
T15026288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 181 |
E378223
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Sinton, 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: Sinton, Texas | Statement: [U.S. Route 181, servesCity, Sinton, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinton, Texas Context triple: [U.S. Route 181, servesCity, Sinton, Texas]
-
A.
Sinton, Texas
chosen
Sinton, Texas is a small city in San Patricio County that serves as part of the Coastal Bend region near the Texas Gulf Coast.
-
B.
Sanger, Texas
Sanger, Texas is a small city in Denton County known for its rural character and proximity to outdoor recreation at Ray Roberts Lake.
-
C.
Sanderson, Texas
Sanderson, Texas is a small unincorporated community and county seat of Terrell County in West Texas, known as a remote desert town along major highways and railroad lines.
-
D.
Snyder, Texas
Snyder, Texas is a small West Texas city that serves as a regional hub for ranching, oil, and gas activity.
-
E.
Cottonwood, Texas
Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
Created at: April 10, 2026, 2:58 a.m.