Triple

T14142486
Position Surface form Disambiguated ID Type / Status
Subject Mario Mandžukić E350460 entity
Predicate playedFor P2170 FINISHED
Object Al-Duhail SC E389904 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-Duhail SC | Statement: [Mario Mandžukić, playedFor, Al-Duhail SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Duhail SC
Context triple: [Mario Mandžukić, playedFor, Al-Duhail SC]
  • A. Al Duhail SC chosen
    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.
  • 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-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.
  • D. Al-Madina SC
    Al-Madina SC is a Libyan football club best known for competing in the country's top-tier league and contributing to the development of domestic football talent.
  • E. Al-Muharraq SC
    Al-Muharraq SC is a prominent Bahraini football club known as one of the country’s oldest and most successful teams.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de611ed3508190add37baa30d1d134 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf18e3d08190b287e2da192d05eb completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:48 a.m.