Triple
T14459357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whataburger Field |
E358540
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Whataburger |
E1100380
|
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: Whataburger | Statement: [Whataburger Field, sponsor, Whataburger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whataburger Context triple: [Whataburger Field, sponsor, Whataburger]
-
A.
Whataburger
chosen
Whataburger is a regional American fast-food chain founded in Texas, best known for its large made-to-order hamburgers and distinctive orange-and-white branding.
-
B.
Burger World
Burger World is a fictional fast-food restaurant featured in the animated series "Beavis and Butt-Head," where the main characters work.
-
C.
Wahlburgers
Wahlburgers is an American casual-dining burger restaurant and bar chain co-owned by the Wahlberg family and featured in a reality TV series of the same name.
-
D.
White Castle
White Castle is a medieval stone fortress in Monmouthshire, Wales, notable for its well-preserved defensive earthworks and role in the border defenses of the Welsh Marches.
-
E.
White Castle
White Castle is a pioneering American fast-food hamburger chain famous for its small square "slider" burgers and late-night cult following.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91aabebc819097eb61b2d81c9a91 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d890be88190afe61dde0d1e75a8 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:19 a.m.