Triple
T1601367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OFC |
E34399
|
entity |
| Predicate | numberOfFIFAConfederations |
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: [OFC, numberOfFIFAConfederations, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFIFAConfederations Context triple: [OFC, numberOfFIFAConfederations, 6]
-
A.
fifaConfederation
Indicates the regional football governing confederation with which an entity (typically a national team or association) is officially affiliated.
-
B.
numberOfNationalFederations
Indicates the total count of national federations associated with or governed by a given entity.
-
C.
confederationsRepresented
Indicates that one entity serves as an official representative or member of one or more confederations within a given context.
-
D.
ConfederationsCupTitles
Indicates the number of FIFA Confederations Cup championships an entity has won.
-
E.
numberOfLeagues
Indicates the quantity of leagues associated with or attributed to a given entity or relationship.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a95aada3f881909053363c01de8b57 |
completed | March 5, 2026, 10:29 a.m. |
Created at: March 4, 2026, 7:28 p.m.