Triple
T17375509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selma, Texas |
E422425
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Schertz, 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: Schertz, Texas | Statement: [Selma, Texas, near, Schertz, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schertz, Texas Context triple: [Selma, Texas, near, Schertz, Texas]
-
A.
Schertz
chosen
Schertz is a suburban city in the San Antonio metropolitan area known for its family-friendly neighborhoods and proximity to major military installations in south-central Texas.
-
B.
Springtown, Texas
Springtown, Texas is a small rural city in North Texas known for its close-knit community and location within the Dallas–Fort Worth metropolitan area.
-
C.
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.
-
D.
Socorro, Texas
Socorro, Texas is a suburban city in West Texas near the U.S.–Mexico border, forming part of the El Paso metropolitan area.
-
E.
Bulverde
Bulverde is a small city in the Texas Hill Country known for its semi-rural character and proximity to San Antonio.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6c864481908507290282cc6d25 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:44 a.m.