Triple
T20836019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Željo |
E512960
|
entity |
| Predicate | associatedClubBosnianTitles |
P142015
|
FINISHED |
| Object | multiple-time champion of Bosnia and Herzegovina |
—
|
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: multiple-time champion of Bosnia and Herzegovina | Statement: [Željo, associatedClubBosnianTitles, multiple-time champion of Bosnia and Herzegovina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedClubBosnianTitles Context triple: [Željo, associatedClubBosnianTitles, multiple-time champion of Bosnia and Herzegovina]
-
A.
wonCroatianLeague
Indicates that an entity has achieved victory in the Croatian League competition.
-
B.
leagueTitleWonWithClub
Indicates that a person has won a league title while playing for or being associated with a specific club.
-
C.
associatedClubShortName
Indicates that there is a relationship linking an entity to the abbreviated or short name of a club with which it is associated.
-
D.
cupTitleWonWithClub
Indicates that a specific cup title was won by a player while playing for a particular club.
-
E.
wonBundesligaWith
Indicates that one entity achieved victory in the Bundesliga while being associated with (e.g., playing for or coaching) the other entity.
- F. None of above. chosen
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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c326daec8190bd4caa41a4b38833 |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:42 p.m.