Triple

T15967248
Position Surface form Disambiguated ID Type / Status
Subject Emir of Qatar Cup E387222 entity
Predicate hasParticipant P149 FINISHED
Object Al-Gharafa SC E395328 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-Gharafa SC | Statement: [Emir of Qatar Cup, hasParticipant, Al-Gharafa SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Gharafa SC
Context triple: [Emir of Qatar Cup, hasParticipant, Al-Gharafa SC]
  • A. Al Gharafa SC chosen
    Al Gharafa SC is a professional football club based in Qatar that competes in the country’s top-tier league and is known for its domestic success.
  • 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. Khor Fakkan SC
    Khor Fakkan SC is a professional football club based in Khor Fakkan, United Arab Emirates, that competes in the UAE Pro League.
  • D. Al Wahda FC
    Al Wahda FC is a professional football club based in Abu Dhabi, United Arab Emirates, known as one of the country's prominent teams.
  • E. Al Sailiya SC
    Al Sailiya SC is a professional football club based in Al Sailiya, Qatar, known for competing in the country’s top-tier league system.
  • 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_6a00077a54c88190ab94a558bfaecf2f completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 4:54 a.m.