Triple

T3774055
Position Surface form Disambiguated ID Type / Status
Subject Qatar Stars League E83263 entity
Predicate mostTitles P3195 FINISHED
Object Al Sadd SC E199293 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 Sadd SC | Statement: [Qatar Stars League, mostTitles, Al Sadd SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Sadd SC
Context triple: [Qatar Stars League, mostTitles, Al Sadd SC]
  • A. Al Sadd SC chosen
    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.
  • 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 Duhail SC
    Al Duhail SC is a prominent Qatari professional football club based in Doha, known for its domestic league success and regular participation in Asian competitions.
  • D. Al Khor SC
    Al Khor SC is a professional football club from Al Khor, Qatar, that competes in the country’s top-tier league system.
  • E. Al Arabi SC
    Al Arabi SC is a prominent Qatari professional football club based in Doha, known for its passionate fan base and historic success in domestic competitions.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc594c50819099ab5ac1b82f61a6 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5768163948190abd1075a20e4706d completed March 14, 2026, 2:53 p.m.
Created at: March 8, 2026, 3:36 p.m.