Triple
T21122884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bordo tim |
E520475
|
entity |
| Predicate | associatedWithClubTrophyType |
P132899
|
FINISHED |
| Object | Bosnian championship titles |
—
|
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: Bosnian championship titles | Statement: [Bordo tim, associatedWithClubTrophyType, Bosnian championship titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithClubTrophyType Context triple: [Bordo tim, associatedWithClubTrophyType, Bosnian championship titles]
-
A.
relatedClubAchievement
chosen
Indicates that a club achievement is associated with, or relevant to, the subject entity.
-
B.
associatedWithClubSuccess
Indicates that an entity has a meaningful connection or contribution to the success or achievements of a club.
-
C.
refersToClubType
Indicates that one entity is associated with or designates a particular type or category of club.
-
D.
relatedToClub
Indicates that there is an association or connection between an entity and a club, without specifying the exact nature of that relationship.
-
E.
associatedClubSport
Indicates that there is a relationship between a club and the sport with which it is connected or aligned.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7223587008190a2b35ea06cf6508b |
completed | April 21, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:55 p.m.