Triple
T674350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Buksa |
E13046
|
entity |
| Predicate | formerTeam |
P1168
|
FINISHED |
| Object | Al-Ahli SC (Qatar) |
E35075
|
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-Ahli SC (Qatar) | Statement: [Adam Buksa, formerTeam, Al-Ahli SC (Qatar)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Ahli SC (Qatar) Context triple: [Adam Buksa, formerTeam, Al-Ahli SC (Qatar)]
-
A.
Al-Ahli SC (Qatar)
chosen
Al-Ahli SC (Qatar) is a professional football club based in Doha and one of the oldest and most historic teams in Qatari football.
-
B.
Al Wasl FC
Al Wasl FC is a professional football club based in Dubai, United Arab Emirates, known as one of the country’s most successful and popular teams.
-
C.
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.
-
D.
Shabab Al Ahli Club
Shabab Al Ahli Club is a prominent professional football club based in Dubai, United Arab Emirates, known for its success in domestic competitions and participation in regional tournaments.
-
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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a02537d08190942ee5fc8c50610a |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dc9d81c88190a2a722370a7fd658 |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:36 p.m.