Triple

T7626928
Position Surface form Disambiguated ID Type / Status
Subject Gonzalo "Pity" Martínez E172656 entity
Predicate playedFor P2170 FINISHED
Object Al‑Rayyan SC E387457 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‑Rayyan SC | Statement: [Gonzalo "Pity" Martínez, playedFor, Al‑Rayyan SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al‑Rayyan SC
Context triple: [Gonzalo "Pity" Martínez, playedFor, Al‑Rayyan SC]
  • A. Al Rayyan SC chosen
    Al Rayyan SC is a prominent Qatari professional football club based in Al Rayyan, known for its large fan base and historic success in domestic competitions.
  • B. 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.
  • C. Al Wakrah SC
    Al Wakrah SC is a professional football club from Al Wakrah, Qatar, known for competing in the country’s top-tier league and having a long-standing presence in Qatari football.
  • D. 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.
  • E. Al Sailiya SC
    Al Sailiya SC is a professional football club based in Al Sailiya, Qatar, known for competing in the country’s top-tier league system.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa8150ac8190908aec411b0f4e50 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ab1132481909e525e90764df041 completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:56 p.m.