Triple

T1820236
Position Surface form Disambiguated ID Type / Status
Subject Al Hilal SFC E40522 entity
Predicate shortName P43 FINISHED
Object Al Hilal E40522 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 Hilal | Statement: [Al Hilal SFC, shortName, Al Hilal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Hilal
Context triple: [Al Hilal SFC, shortName, Al Hilal]
  • A. Al Hilal SFC chosen
    Al Hilal SFC is a professional Saudi Arabian football club based in Riyadh and one of Asia’s most successful and popular teams.
  • 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 Ahli Saudi FC
    Al Ahli Saudi FC is one of Saudi Arabia’s most successful and popular football clubs, based in Jeddah and known for its rich history and passionate fanbase.
  • D. Al-Ahli
    Al-Ahli is a Qatari professional football club based in Doha and one of the country’s oldest and most historic teams.
  • E. 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.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f9f32c819084948e7ce7fa6f2e completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9ac97e081908ab1d30fa41c3e9b completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:32 p.m.