Triple
T2755757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rashidi Yekini |
E61095
|
entity |
| Predicate | playedForClub |
P2168
|
FINISHED |
| Object | Al-Shabab Riyadh |
E153595
|
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-Shabab Riyadh | Statement: [Rashidi Yekini, playedForClub, Al-Shabab Riyadh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Shabab Riyadh Context triple: [Rashidi Yekini, playedForClub, Al-Shabab Riyadh]
-
A.
Wydad AC
Wydad AC is one of Morocco’s most successful and popular football clubs, based in Casablanca and renowned for its passionate fanbase and historic domestic and continental achievements.
-
B.
Al Shabab FC
chosen
Al Shabab FC is a prominent professional football club based in Riyadh, Saudi Arabia, known for its strong domestic performances and historic status in Saudi football.
-
C.
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.
-
D.
Al-Nasr
Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
-
E.
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.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb718f4c8190bfc34c6597163ebc |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbdd509c8190ac62aa6d50dea3a6 |
completed | March 10, 2026, 6:36 a.m. |
Created at: March 6, 2026, 9:56 p.m.