Triple

T596276
Position Surface form Disambiguated ID Type / Status
Subject Al Nasr SC E17389 entity
Predicate shortName P43 FINISHED
Object Al Nasr 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 | Statement: [Al Nasr SC, shortName, Al Nasr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Nasr
Context triple: [Al Nasr SC, shortName, Al Nasr]
  • 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 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.
  • C. Al Hilal SFC
    Al Hilal SFC is a professional Saudi Arabian football club based in Riyadh and one of Asia’s most successful and popular teams.
  • D. 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.
  • E. Shabab Al Ahli Club
    Shabab Al Ahli Club is a prominent professional football club based in Dubai, United Arab Emirates, known for its success in domestic competitions and participation in regional tournaments.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bd3e5e08190be95cb2009aad42d completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51f36ab388190a418f6d4ffe91d66 completed March 2, 2026, 5:25 a.m.
Created at: March 1, 2026, 7:33 p.m.