Triple
T3146754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fédération Française de Football |
E65782
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | FIFA |
E23480
|
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: FIFA | Statement: [Fédération Française de Football, memberOf, FIFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FIFA Context triple: [Fédération Française de Football, memberOf, FIFA]
-
A.
FIFA
chosen
FIFA is the international governing body of association football, responsible for organizing major global tournaments such as the FIFA World Cup and overseeing the sport’s rules and international governance.
-
B.
PES
PES is a major European political party that unites social-democratic, socialist, and labor parties from across the European Union.
-
C.
Madden
Madden is a Scottish surname most prominently associated with actor Richard Madden, known for his roles in "Game of Thrones" and various film and television productions.
-
D.
EA Sports
EA Sports is a video game brand of Electronic Arts best known for developing popular sports game franchises such as FIFA (now EA Sports FC) and Madden NFL.
-
E.
NBA 2K
NBA 2K is a long-running basketball video game series that simulates the NBA with realistic gameplay, teams, and players.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada598ccf08190b8817c456f38f2d7 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f18e80819083be53c556d56947 |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.