Triple

T15304470
Position Surface form Disambiguated ID Type / Status
Subject Al Ain FC E365861 entity
Predicate rival P437 FINISHED
Object Al Jazira Club E365862 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 Jazira Club | Statement: [Al Ain FC, rival, Al Jazira Club]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Jazira Club
Context triple: [Al Ain FC, rival, Al Jazira Club]
  • A. Al Jazira Club chosen
    Al Jazira Club is a prominent professional football club based in Abu Dhabi, United Arab Emirates, known for competing at the top level of Emirati football and winning multiple domestic titles.
  • B. Al Khaleej Club
    Al Khaleej Club is a professional football club from Saudi Arabia that competes in the country’s top-tier league system.
  • C. Damac FC
    Damac FC is a professional football club from Khamis Mushait, Saudi Arabia, competing in the country’s top-tier league.
  • D. Al Okhdood Club
    Al Okhdood Club is a professional football team from Saudi Arabia that competes in the country’s top-tier Saudi Pro League.
  • E. Al-Ahli
    Al-Ahli is a Qatari professional football club based in Doha and one of the country’s oldest and most historic 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccef14c819099c5ebe962e7f867 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89d961481909be8dcc2864982c9 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:15 a.m.