Triple
T20470792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Longhorns football team |
E502186
|
entity |
| Predicate | homeVenue |
P105
|
FINISHED |
| Object | DKR |
—
|
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: DKR | Statement: [Texas Longhorns football team, homeVenue, DKR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DKR Context triple: [Texas Longhorns football team, homeVenue, DKR]
-
A.
DKR
DKR is the IATA airport code for Léopold Sédar Senghor International Airport, the former main international gateway to Dakar, Senegal.
-
B.
DKR
chosen
DKR is a common shorthand for Darrell K Royal–Texas Memorial Stadium, the University of Texas at Austin’s iconic football stadium and home of the Texas Longhorns.
-
C.
DK
DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
-
D.
DK
DK is a South Korean singer and main vocalist of the K-pop boy group Seventeen, known for his powerful voice and energetic stage presence.
-
E.
DK
DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e699608d7c8190910217817e789915 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.