Triple
T29872996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1962 FIFA World Cup qualification |
E758643
|
entity |
| Predicate | numberOfConfederationsInvolved |
P30622
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [1962 FIFA World Cup qualification, numberOfConfederationsInvolved, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfConfederationsInvolved Context triple: [1962 FIFA World Cup qualification, numberOfConfederationsInvolved, 6]
-
A.
confederationsRepresented
Indicates that one entity serves as an official representative or member of one or more confederations within a given context.
-
B.
associatedConfederationCount
Indicates the number of distinct confederations with which an entity is associated.
-
C.
numberOfFIFAConfederations
chosen
Indicates the total count of FIFA confederations associated with a given entity.
-
D.
otherConfederation
Indicates that an entity is associated with a different confederation than another referenced entity, specifying an alternative confederative affiliation or membership.
-
E.
ConfederationsCupAppearances
Indicates the number of times an entity has participated in the FIFA Confederations Cup tournament.
- F. None of above.
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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a002103c93081908398fa5726f5fa6e |
completed | May 10, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_6a001fcb9fb48190a27d8f2ca983fbe6 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 29, 2026, 5:54 p.m.