Triple
T23776485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA confederations |
E587687
|
entity |
| Predicate | roleInWorldCup |
P153897
|
FINISHED |
| Object | organize World Cup qualifying tournaments |
—
|
LITERAL 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: organize World Cup qualifying tournaments | Statement: [FIFA confederations, roleInWorldCup, organize World Cup qualifying tournaments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInWorldCup Context triple: [FIFA confederations, roleInWorldCup, organize World Cup qualifying tournaments]
-
A.
roleAt2014WorldCup
Indicates the specific role or position an entity held in relation to the 2014 FIFA World Cup.
-
B.
roleAt2006WorldCup
Indicates the specific role or position an entity held in relation to the 2006 FIFA World Cup.
-
C.
roleIn1999WorldCup
Indicates the specific capacity or position an entity held in relation to the 1999 World Cup event.
-
D.
representsInWorldCup
Indicates that an entity (such as a player or team) participates as a representative of a country or organization in a FIFA World Cup tournament.
-
E.
roleInCONCACAF
Indicates that one entity holds a specific role, position, or function within the CONCACAF organization or its activities.
- F. None of above. chosen
Provenance (4 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_69e2490d245881909028226a1393d624 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c46c1ea881908dfdc305e58516db |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15ed138f88190a8ae555422978908 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 17, 2026, 7:16 p.m.