Triple
T419114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1974 FIFA World Cup |
E8060
|
entity |
| Predicate | numberOfConfederations |
P8912
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [1974 FIFA World Cup, numberOfConfederations, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfConfederations Context triple: [1974 FIFA World Cup, numberOfConfederations, 5]
-
A.
confederationsRepresented
Indicates that one entity serves as an official representative or member of one or more confederations within a given context.
-
B.
associatedConfederationCount
chosen
Indicates the number of distinct confederations with which an entity is associated.
-
C.
confederation
Indicates a formal union or alliance between multiple entities that retain their individual autonomy while cooperating under a shared framework or agreement.
-
D.
hasNumberOfConferencesInLeague
Indicates the quantity of conferences that exist within a given league.
-
E.
numberOfLeagues
Indicates the quantity of leagues associated with or attributed to a given entity or relationship.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd3b948819097d96c73d0a0f699 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.