Triple

T12938375
Position Surface form Disambiguated ID Type / Status
Subject LNB Pro A E309573 entity
Predicate sponsor P67 FINISHED
Object Betclic
Betclic is a European online sports betting and gambling company known for sponsoring major professional sports leagues and events.
E1011812 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: Betclic | Statement: [LNB Pro A, sponsor, Betclic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betclic
Context triple: [LNB Pro A, sponsor, Betclic]
  • A. Bet365
    Bet365 is a major British online gambling company best known for its sports betting platform and global sponsorships in horse racing and football.
  • B. Betfred
    Betfred is a major UK-based bookmaker and online gambling company known for its extensive sports betting and gaming operations.
  • C. Betfair
    Betfair is a major online gambling company and betting exchange based in the United Kingdom.
  • D. Afabet
    Afabet is a town in Eritrea known historically as a key site during the Eritrean War of Independence.
  • E. BetRivers
    BetRivers is an online sports betting and casino brand operated by Rush Street Interactive and linked to the Rivers Casino properties in the United States.
  • 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: Betclic
Triple: [LNB Pro A, sponsor, Betclic]
Generated description
Betclic is a European online sports betting and gambling company known for sponsoring major professional sports leagues and events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Betclic
Target entity description: Betclic is a European online sports betting and gambling company known for sponsoring major professional sports leagues and events.
  • A. Bet365
    Bet365 is a major British online gambling company best known for its sports betting platform and global sponsorships in horse racing and football.
  • B. Betfred
    Betfred is a major UK-based bookmaker and online gambling company known for its extensive sports betting and gaming operations.
  • C. Betfair
    Betfair is a major online gambling company and betting exchange based in the United Kingdom.
  • D. Afabet
    Afabet is a town in Eritrea known historically as a key site during the Eritrean War of Independence.
  • E. BetRivers
    BetRivers is an online sports betting and casino brand operated by Rush Street Interactive and linked to the Rivers Casino properties in the United States.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc8c0848190946e109ec98e4479 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6ef89881908ec3138b9f4a8b1a completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b0660b188190a67bfff73b882d92 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1a539148190be7a4f16f738ca90 completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:43 p.m.