Triple
T17242912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltic Basketball League |
E418546
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
Triobet
Triobet is an online sports betting and gaming company known for sponsoring various sporting events and leagues in the Baltic region.
|
E1258565
|
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: Triobet | Statement: [Baltic Basketball League, sponsor, Triobet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triobet Context triple: [Baltic Basketball League, sponsor, Triobet]
-
A.
Betclic
Betclic is a European online sports betting and gambling company known for sponsoring major professional sports leagues and events.
-
B.
Betfred
Betfred is a major UK-based bookmaker and online gambling company known for its extensive sports betting and gaming operations.
-
C.
Totesport
Totesport is a British betting and gaming company known for its involvement in horse racing and sports wagering.
-
D.
Smartodds
Smartodds is a data analytics and statistical modeling company best known for providing betting and sports data services, particularly linked to professional gambler and Brentford FC owner Matthew Benham.
-
E.
Bet365
Bet365 is a major British online gambling company best known for its sports betting platform and global sponsorships in horse racing and football.
- 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: Triobet Triple: [Baltic Basketball League, sponsor, Triobet]
Generated description
Triobet is an online sports betting and gaming company known for sponsoring various sporting events and leagues in the Baltic region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Triobet Target entity description: Triobet is an online sports betting and gaming company known for sponsoring various sporting events and leagues in the Baltic region.
-
A.
Betclic
Betclic is a European online sports betting and gambling company known for sponsoring major professional sports leagues and events.
-
B.
Betfred
Betfred is a major UK-based bookmaker and online gambling company known for its extensive sports betting and gaming operations.
-
C.
Totesport
Totesport is a British betting and gaming company known for its involvement in horse racing and sports wagering.
-
D.
Smartodds
Smartodds is a data analytics and statistical modeling company best known for providing betting and sports data services, particularly linked to professional gambler and Brentford FC owner Matthew Benham.
-
E.
Bet365
Bet365 is a major British online gambling company best known for its sports betting platform and global sponsorships in horse racing and football.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e21003c81908c884a3c8712676a |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f388608190b709b1c228a7ba29 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a01718311a48190890c770f571852c8 |
completed | May 11, 2026, 6:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01721f5b9081909a8bc817ba0a5986 |
completed | May 11, 2026, 6:07 a.m. |
Created at: April 10, 2026, 5:39 a.m.