Triple

T1307070
Position Surface form Disambiguated ID Type / Status
Subject Saudi Pro League E27902 entity
Predicate hasClub P28155 FINISHED
Object Al Nassr FC E27900 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 Nassr FC | Statement: [Saudi Pro League, hasClub, Al Nassr FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Nassr FC
Context triple: [Saudi Pro League, hasClub, Al Nassr FC]
  • A. Al Nassr FC chosen
    Al Nassr FC is a prominent Saudi Arabian football club based in Riyadh that gained major global attention after signing Portuguese star Cristiano Ronaldo.
  • B. 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.
  • C. Al Nasr SC
    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.
  • 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. Al-Faisaly SC
    Al-Faisaly SC is one of Jordan’s most successful and popular football clubs, based in Amman and known for its numerous domestic titles and regional achievements.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c48d25608190b069fb4d0d460aa6 completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace55f2c288190b8315794b11a7e65 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:51 p.m.