Triple

T12381952
Position Surface form Disambiguated ID Type / Status
Subject Abedi Pele E295765 entity
Predicate playedFor P2170 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: [Abedi Pele, playedFor, Al Sadd SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Sadd SC
Context triple: [Abedi Pele, playedFor, 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-Qadsiah FC
    Al-Qadsiah FC is a professional football club based in Saudi Arabia that competes in the Saudi league system.
  • E. 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.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbb3a2481908c2fcb5e6488eb3c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66854281c8190bd8d21d501cddb89 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:54 p.m.