Triple
T37026454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Cup trophy |
E916368
|
entity |
| Predicate | associatedWithRebrandedName |
P121023
|
FINISHED |
| Object | UEFA Europa League trophy |
E916368
|
NE 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: UEFA Europa League trophy | Statement: [UEFA Cup trophy, associatedWithRebrandedName, UEFA Europa League trophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithRebrandedName Context triple: [UEFA Cup trophy, associatedWithRebrandedName, UEFA Europa League trophy]
-
A.
associatedName
Indicates that one entity has an alternative or related name that is linked or connected to another entity.
-
B.
associatedWithCityBranding
Indicates a relationship where something is connected to, involved in, or contributes to the branding or promotional identity of a city.
-
C.
associatedNewName
chosen
Indicates that an entity is linked to or identified by a newly assigned name or label.
-
D.
relatedBrand
Indicates a relationship where one brand is associated with, connected to, or otherwise related to another brand.
-
E.
associatedBrandCategory
Indicates that a brand is linked to or classified under a particular product or service category.
- F. None of above.
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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e8c35cd848190a25c5ecb6d69bcb2 |
completed | June 26, 2026, 2:27 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.