Triple

T8151517
Position Surface form Disambiguated ID Type / Status
Subject Michael Laudrup E190343 entity
Predicate coachOfSportsTeam P2169 FINISHED
Object Al Rayyan SC E387457 NE FINISHED

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: Al Rayyan SC | Statement: [Michael Laudrup, coachOfSportsTeam, Al Rayyan SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Rayyan SC
Context triple: [Michael Laudrup, coachOfSportsTeam, Al Rayyan SC]
  • A. Al Rayyan SC chosen
    Al Rayyan SC is a prominent Qatari professional football club based in Al Rayyan, known for its large fan base and historic success in domestic competitions.
  • B. Al Wakrah SC
    Al Wakrah SC is a professional football club from Al Wakrah, Qatar, known for competing in the country’s top-tier league and having a long-standing presence in Qatari football.
  • C. Al Khor SC
    Al Khor SC is a professional football club from Al Khor, Qatar, that competes in the country’s top-tier league system.
  • D. Al Shamal SC
    Al Shamal SC is a professional football club from Qatar that competes in the country’s top-tier league.
  • E. Al-Faisaly SC
    Al-Faisaly SC is one of Jordan’s most successful and popular football clubs, based in Amman and known for its numerous domestic titles and regional achievements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4483799c81908e73f9a87ed99185 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbeef189081909f45b8d2aea74225 completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.