Triple
T13442104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Star |
E320388
|
entity |
| Predicate | associatedWithCrest |
P105736
|
FINISHED |
| Object | Wisła Kraków team crest |
—
|
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: Wisła Kraków team crest | Statement: [White Star, associatedWithCrest, Wisła Kraków team crest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCrest Context triple: [White Star, associatedWithCrest, Wisła Kraków team crest]
-
A.
hasCrestBadge
chosen
Indicates that an entity possesses or is associated with a specific crest badge.
-
B.
associatedWithPlayers
Indicates a relationship in which one or more players are connected, linked, or otherwise involved with the referenced entity.
-
C.
hasCrestType
Indicates that an entity possesses a specific type or form of crest.
-
D.
associatedWithTeamIdentity
Indicates that an entity has a connection or relevance to the identity, branding, or defining characteristics of a particular team.
-
E.
associatedWithMatch
Indicates a relationship where an entity is linked or connected to a particular match or matching event.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee704ac8190b4c7f4e0d3a88494 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.