Triple
T13026621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanger High School |
E326323
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sanger, Texas |
E485012
|
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: Sanger, Texas | Statement: [Sanger High School, locatedIn, Sanger, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanger, Texas Context triple: [Sanger High School, locatedIn, Sanger, Texas]
-
A.
Sanger, Texas
chosen
Sanger, Texas is a small city in Denton County known for its rural character and proximity to outdoor recreation at Ray Roberts Lake.
-
B.
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.
-
C.
Sinton, Texas
Sinton, Texas is a small city in San Patricio County that serves as part of the Coastal Bend region near the Texas Gulf Coast.
-
D.
Sachse, Texas
Sachse, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to major North Texas employment and retail centers.
-
E.
Saginaw, Texas
Saginaw, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its strong railroad heritage and grain elevator industry.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5b2fb308190ab041a9cfe39087c |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 9, 2026, 8:53 p.m.