Triple

T8670299
Position Surface form Disambiguated ID Type / Status
Subject King Abdullah Sports City Stadium E205778 entity
Predicate servesAsHomeGroundFor P18826 FINISHED
Object Al-Ahli Saudi FC E166138 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-Ahli Saudi FC | Statement: [King Abdullah Sports City Stadium, servesAsHomeGroundFor, Al-Ahli Saudi FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Ahli Saudi FC
Context triple: [King Abdullah Sports City Stadium, servesAsHomeGroundFor, Al-Ahli Saudi FC]
  • A. Al Ahli Saudi FC chosen
    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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Al Sadd SC
    Al Sadd SC is a prominent professional football club based in Doha, Qatar, 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c2e9c688190aceefaa2c3b7d7bd completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d065b11f3c81909c787d365b242d57 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 6:31 p.m.