Triple
T21155072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanda Dubravčić |
E521289
|
entity |
| Predicate | representedClub |
P143091
|
FINISHED |
| Object | figure skating club in Zagreb |
—
|
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: figure skating club in Zagreb | Statement: [Sanda Dubravčić, representedClub, figure skating club in Zagreb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedClub Context triple: [Sanda Dubravčić, representedClub, figure skating club in Zagreb]
-
A.
laterRepresentedClub
Indicates that an individual went on to represent a particular club at a later time than the contextually referenced period or affiliation.
-
B.
playsForClub
Indicates that a person is an active member of and participates in a particular sports club or team.
-
C.
associatedClubCommonName
Indicates that there is a relationship linking an entity to the commonly used or popular name of a club with which it is associated.
-
D.
associatedClubSport
Indicates that there is a relationship between a club and the sport with which it is connected or aligned.
-
E.
associatedClubShortName
Indicates that there is a relationship linking an entity to the abbreviated or short name of a club with which it is associated.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252a48788190bfdfe811fc6cfc06 |
completed | April 21, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 2:58 p.m.