Triple

T6393390
Position Surface form Disambiguated ID Type / Status
Subject Raúl González E143882 entity
Predicate playedFor P2170 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: [Raúl González, playedFor, Al Sadd SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Sadd SC
Context triple: [Raúl González, playedFor, 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687f5c6c81909c835329c996b311 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bb0a0bc819098a5a753d0be52a1 completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:34 p.m.