Triple

T15967256
Position Surface form Disambiguated ID Type / Status
Subject Emir of Qatar Cup E387222 entity
Predicate hasParticipant P149 FINISHED
Object Al-Sailiya SC E403771 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-Sailiya SC | Statement: [Emir of Qatar Cup, hasParticipant, Al-Sailiya SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Sailiya SC
Context triple: [Emir of Qatar Cup, hasParticipant, Al-Sailiya SC]
  • A. Al Sailiya SC chosen
    Al Sailiya SC is a professional football club based in Al Sailiya, Qatar, known for competing in the country’s top-tier league system.
  • B. Al Shamal SC
    Al Shamal SC is a professional football club from Qatar that competes in the country’s top-tier league.
  • C. Al-Shahania SC
    Al-Shahania SC is a Qatari professional football club that competes in the country's league system and has featured both domestic and international managers.
  • D. Al-Markhiya SC
    Al-Markhiya SC is a Qatari football club that competes in the country’s top domestic competitions.
  • E. Umm Salal SC
    Umm Salal SC is a professional football club from Qatar that competes in the country’s top-tier league and is known for its distinctive orange kit and strong defensive style.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15726536881908b603e43ae1acafb completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00456d5e74819080c838468ec015ef completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 4:54 a.m.