Triple
T1379755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Cup Winners’ Cup |
E29309
|
entity |
| Predicate | numberOfParticipatingAssociations |
P1131
|
FINISHED |
| Object | varied by season |
—
|
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: varied by season | Statement: [European Cup Winners’ Cup, numberOfParticipatingAssociations, varied by season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfParticipatingAssociations Context triple: [European Cup Winners’ Cup, numberOfParticipatingAssociations, varied by season]
-
A.
participatingAssociations
Indicates that certain associations are involved as participants in a given activity, event, or relationship.
-
B.
numberOfAssociateMembers
Indicates the total count of associate members linked to a given entity.
-
C.
numberOfMemberOrganizations
Indicates the total count of organizations that are members of a given group, association, or umbrella entity.
-
D.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
E.
associatedConfederationCount
Indicates the number of distinct confederations with which an entity is associated.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c319f46481909ba8a69a19b865e5 |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4befcabdc8190a9f05d002603f81c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.