Triple
T8023753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Champions League 2005–06 |
E186801
|
entity |
| Predicate | numberOfAssociations |
P76934
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [UEFA Champions League 2005–06, numberOfAssociations, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAssociations Context triple: [UEFA Champions League 2005–06, numberOfAssociations, 50]
-
A.
numberOfAssociationsRepresented
chosen
Indicates the total count of associations that are captured or represented by a given entity or construct.
-
B.
numberOfAssociateMembers
Indicates the total count of associate members linked to a given entity.
-
C.
memberAssociationCount
Indicates the number of associations or group memberships linked to a given member.
-
D.
participatingAssociations
Indicates that certain associations are involved as participants in a given activity, event, or relationship.
-
E.
hasNumberOfLiaisons
Indicates the quantity of liaison roles, connections, or intermediary relationships associated with a given entity.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e90c7348190abc1013a312e4f1a |
completed | March 31, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:21 p.m.