Triple
T468523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EFL Cup |
E8502
|
entity |
| Predicate | mainSponsor |
P737
|
FINISHED |
| Object |
Carabao
Carabao is a Thai energy drink brand known internationally for its high-profile sports sponsorships, including naming rights to England’s EFL Cup.
|
E58619
|
NE FINISHED |
How this triple was built (4 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: Carabao | Statement: [EFL Cup, mainSponsor, Carabao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carabao Context triple: [EFL Cup, mainSponsor, Carabao]
-
A.
Dongo
Dongo is a small town on the northwestern shore of Lake Como in Lombardy, Italy, known for its role in the capture of Benito Mussolini at the end of World War II.
-
B.
Mvezo
Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
-
C.
Tebu
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
-
D.
Camel
Camel is a long-established American cigarette brand known for its distinctive camel logo and association with R.J. Reynolds Tobacco Company.
-
E.
Tama
Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Carabao Triple: [EFL Cup, mainSponsor, Carabao]
Generated description
Carabao is a Thai energy drink brand known internationally for its high-profile sports sponsorships, including naming rights to England’s EFL Cup.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carabao Target entity description: Carabao is a Thai energy drink brand known internationally for its high-profile sports sponsorships, including naming rights to England’s EFL Cup.
-
A.
Dongo
Dongo is a small town on the northwestern shore of Lake Como in Lombardy, Italy, known for its role in the capture of Benito Mussolini at the end of World War II.
-
B.
Mvezo
Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
-
C.
Tebu
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
-
D.
Camel
Camel is a long-established American cigarette brand known for its distinctive camel logo and association with R.J. Reynolds Tobacco Company.
-
E.
Tama
Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
- F. None of above. chosen
Provenance (5 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd9bea081909ee782840f3da12b |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a45802334881908eb49c09f68c1a22 |
completed | March 1, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69a45bf215408190b9d6adbfb12b2df8 |
completed | March 1, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a45c5603f881908c48380212c69db7 |
completed | March 1, 2026, 3:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.