Triple
T419158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 FIFA World Cup |
E8061
|
entity |
| Predicate | organizer |
P123
|
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: [2006 FIFA World Cup, organizer, FIFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FIFA Context triple: [2006 FIFA World Cup, organizer, 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.
NBA 2K
NBA 2K is a long-running basketball video game series that simulates the NBA with realistic gameplay, teams, and players.
-
C.
Smash
Smash is an American musical drama television series that follows the creation of a Broadway show about Marilyn Monroe, featuring Jennifer Hudson in a prominent role.
-
D.
Guitar Hero
Guitar Hero is a popular music rhythm video game franchise in which players use a guitar-shaped controller to simulate playing rock songs by matching on-screen notes.
-
E.
FIFA World Cup
The FIFA World Cup is the premier international football (soccer) tournament contested by national teams from around the world every four years.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee917de48190965fba455efd2320 |
completed | Feb. 28, 2026, 1:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a42543e3ec81908a56075495b1279f |
completed | March 1, 2026, 11:38 a.m. |
Created at: Feb. 28, 2026, 1:11 p.m.