Triple
T22495482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bells High School |
E556126
|
entity |
| Predicate | servesCommunity |
P82
|
FINISHED |
| Object | Bells, 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: Bells, Texas | Statement: [Bells High School, servesCommunity, Bells, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bells, Texas Context triple: [Bells High School, servesCommunity, Bells, Texas]
-
A.
Bells, Texas
chosen
Bells, Texas is a small rural community in Grayson County known for its agricultural surroundings and close-knit, small-town character.
-
B.
Bellmead, Texas
Bellmead, Texas is a small city in Central Texas that functions as a suburb of Waco.
-
C.
Bullard, Texas
Bullard, Texas is a small town in East Texas that serves as a suburban community within the greater Tyler metropolitan area.
-
D.
Burleson, Texas
Burleson, Texas is a growing suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and proximity to Fort Worth.
-
E.
Briscoe, Texas
Briscoe, Texas is a small unincorporated rural community located in Wheeler County in the Texas Panhandle.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb19bac81909bbc2f131186aeea |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:49 p.m.