Triple
T22490151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hristo Stoichkov |
E555992
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | Al-Nassr FC |
—
|
NE NERFINISHED |
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-Nassr FC | Statement: [Hristo Stoichkov, memberOfSportsTeam, Al-Nassr FC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Nassr FC Context triple: [Hristo Stoichkov, memberOfSportsTeam, Al-Nassr FC]
-
A.
Al Nassr FC
chosen
Al Nassr FC is a prominent Saudi Arabian football club based in Riyadh that gained major global attention after signing Portuguese star Cristiano Ronaldo.
-
B.
Al Nasr SC
Al Nasr SC is one of the oldest and most successful professional football clubs in the United Arab Emirates, based in Dubai and competing in the UAE Pro League.
-
C.
Al Ahli Saudi FC
Al Ahli Saudi FC is one of Saudi Arabia’s most successful and popular football clubs, based in Jeddah and known for its rich history and passionate fanbase.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c40930c81908310ac6afd98c62e |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.