Triple
T26390247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Bull multi-club system |
E663390
|
entity |
| Predicate | facesCriticismFor |
P62059
|
FINISHED |
| Object | commercialization of club identities |
—
|
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: commercialization of club identities | Statement: [Red Bull multi-club system, facesCriticismFor, commercialization of club identities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facesCriticismFor Context triple: [Red Bull multi-club system, facesCriticismFor, commercialization of club identities]
-
A.
hasCriticism
Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
-
B.
criticismReason
chosen
Indicates that one entity criticizes another entity specifically because of the stated reason.
-
C.
criticizedFor
Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
-
D.
aimsToCritique
Indicates an intention to analyze and point out faults, limitations, or weaknesses in something.
-
E.
criticizesBehaviorOf
Indicates that one entity expresses disapproval of, or points out faults in, the behavior or conduct of another 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610bf1e248190a186aed862513478 |
completed | May 2, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 11:25 p.m.