Triple

T4316095
Position Surface form Disambiguated ID Type / Status
Subject Al Wasl E96394 entity
Predicate hasRival P1375 FINISHED
Object Al Nasr SC E17389 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 Nasr SC | Statement: [Al Wasl, hasRival, Al Nasr SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Nasr SC
Context triple: [Al Wasl, hasRival, Al Nasr SC]
  • A. Al Nasr SC chosen
    Al Nasr SC is one of the oldest and most successful professional football clubs in the United Arab Emirates, based in Dubai and competing in the UAE Pro League.
  • B. Al Ettifaq FC
    Al Ettifaq FC is a professional football club from Dammam, Saudi Arabia, known for competing in the country’s top-tier league and having a rich history in Saudi football.
  • C. 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.
  • D. Al Nassr FC
    Al Nassr FC is a prominent Saudi Arabian football club based in Riyadh that gained major global attention after signing Portuguese star Cristiano Ronaldo.
  • E. Al Wasl FC
    Al Wasl FC is a professional football club based in Dubai, United Arab Emirates, known as one of the country’s most successful and popular 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350f60dfc819098202b7eb3bbf402 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d085f78481909bb6dd55bf06d9d6 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:12 p.m.