Triple
T6648953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eusébio |
E150769
|
entity |
| Predicate | describedBySource |
P519
|
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: [Eusébio, describedBySource, FIFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FIFA Context triple: [Eusébio, describedBySource, 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.
NFL 2K
NFL 2K is a critically acclaimed American football video game series known for its realistic gameplay and as a major competitor to EA Sports' Madden NFL franchise in the early 2000s.
-
C.
PES
PES is a major European political party that unites social-democratic, socialist, and labor parties from across the European Union.
-
D.
IFA 2017
IFA 2017 is a major annual consumer electronics trade show held in Berlin, Germany, where companies unveil new gadgets and technologies.
-
E.
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.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b01fea4c8190a21ba7f4c2018c5e |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eef91eb08190a00ae027c21b08bf |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:01 p.m.