Triple

T8023707
Position Surface form Disambiguated ID Type / Status
Subject Xavi Hernández E186800 entity
Predicate coachOf P2169 FINISHED
Object Al Sadd SC E199293 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 Sadd SC | Statement: [Xavi Hernández, coachOf, Al Sadd SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Sadd SC
Context triple: [Xavi Hernández, coachOf, Al Sadd SC]
  • A. Al Sadd SC chosen
    Al Sadd SC is a prominent professional football club based in Doha, Qatar, known as one of the country’s most successful and popular teams.
  • B. Al Riyadh SC
    Al Riyadh SC is a professional football club based in Riyadh, Saudi Arabia, competing in the country’s top-tier league system.
  • C. Al Duhail SC
    Al Duhail SC is a prominent Qatari professional football club based in Doha, known for its domestic league success and regular participation in Asian competitions.
  • D. 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.
  • E. Al Arabi SC
    Al Arabi SC is a prominent Qatari professional football club based in Doha, known for its passionate fan base and historic success in domestic competitions.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e8fb6788190a16413051ec26988 completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63c6a9208190841ed55b8c6ec73f completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:21 p.m.