Triple
T10951090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Branko Zebec |
E258726
|
entity |
| Predicate | numberOfInternationalMatches |
P13109
|
FINISHED |
| Object | 65 |
—
|
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: 65 | Statement: [Branko Zebec, numberOfInternationalMatches, 65]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfInternationalMatches Context triple: [Branko Zebec, numberOfInternationalMatches, 65]
-
A.
playedInternationally
Indicates that an individual has participated in official international-level events or competitions representing a country or equivalent national entity.
-
B.
playsInternationalMatchesIn
Indicates that an athlete or team participates in international matches held in a specified location or competition context.
-
C.
hasPlayedForNationalTeam
Indicates that an athlete has been a member of and appeared in competition for a specified national team.
-
D.
nationalTeamAppearances
chosen
Indicates the number of official matches in which an entity has represented its national team.
-
E.
homeCountryTeamMatches
Indicates that the matches involve the team representing its own home country.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fc156c8190826e124c13ce7242 |
completed | April 9, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.