Triple
T22680002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NK Zagreb |
E560453
|
entity |
| Predicate | hasLanguageOfClubEnvironment |
P119688
|
FINISHED |
| Object | Croatian |
—
|
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: Croatian | Statement: [NK Zagreb, hasLanguageOfClubEnvironment, Croatian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageOfClubEnvironment Context triple: [NK Zagreb, hasLanguageOfClubEnvironment, Croatian]
-
A.
languageOfClubHeritage
Indicates the language traditionally associated with or used to represent a club’s cultural or historical heritage.
-
B.
officialLanguageOfClubOperations
Indicates the language that a club formally uses for its official communications and operations.
-
C.
hasMemberLanguage
Indicates that one entity is a language that is a constituent or member of a larger language group, family, or collection represented by the other entity.
-
D.
languageOfClubMedia
Indicates the language in which a club’s media or communications are produced or presented.
-
E.
languageOfTeamEnvironment
chosen
Indicates the primary language used for communication and collaboration within a team’s working environment.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785f68b4819082c5570f741f5135 |
completed | April 29, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:11 p.m.