Triple
T14232696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KNVB Cup |
E352791
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
TOTO
TOTO is a Dutch sports betting and lottery brand known for sponsoring major football competitions in the Netherlands.
|
E1087896
|
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: TOTO | Statement: [KNVB Cup, sponsor, TOTO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TOTO Context triple: [KNVB Cup, sponsor, TOTO]
-
A.
TOTO
TOTO is the commonly used abbreviation for the Tongue of the Ocean, a deep, U-shaped submarine trench in the Bahamas.
-
B.
Loto
Loto is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
-
C.
Ten Ten
"Ten Ten" is a popular Nigerian Afrobeats song performed by the Mo' Hits All Stars collective.
-
D.
TM88
TM88 is an American record producer and DJ best known for his work in trap music and collaborations with prominent hip-hop artists.
-
E.
Bingo
Bingo is a stage play by British dramatist Edward Bond that portrays William Shakespeare in his final years, exploring themes of guilt, capitalism, and social responsibility.
- 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: TOTO Triple: [KNVB Cup, sponsor, TOTO]
Generated description
TOTO is a Dutch sports betting and lottery brand known for sponsoring major football competitions in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TOTO Target entity description: TOTO is a Dutch sports betting and lottery brand known for sponsoring major football competitions in the Netherlands.
-
A.
TOTO
TOTO is the commonly used abbreviation for the Tongue of the Ocean, a deep, U-shaped submarine trench in the Bahamas.
-
B.
Loto
Loto is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
-
C.
Ten Ten
"Ten Ten" is a popular Nigerian Afrobeats song performed by the Mo' Hits All Stars collective.
-
D.
TM88
TM88 is an American record producer and DJ best known for his work in trap music and collaborations with prominent hip-hop artists.
-
E.
Bingo
Bingo is a stage play by British dramatist Edward Bond that portrays William Shakespeare in his final years, exploring themes of guilt, capitalism, and social responsibility.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622cdd6481908befa179a9675bb5 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281bc67c81909bb09ee4a39a0b7f |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd29ee7e0c819095bc48e54f825bc6 |
completed | May 8, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2aa5bf3c8190bb62ce780d417b7d |
completed | May 8, 2026, 12:13 a.m. |
Created at: April 10, 2026, 1:07 a.m.