Triple
T11776371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sándor Kocsis |
E280028
|
entity |
| Predicate | goalsPerGameRatioForNationalTeam |
P71871
|
FINISHED |
| Object | more than 1.0 |
—
|
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: more than 1.0 | Statement: [Sándor Kocsis, goalsPerGameRatioForNationalTeam, more than 1.0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsPerGameRatioForNationalTeam Context triple: [Sándor Kocsis, goalsPerGameRatioForNationalTeam, more than 1.0]
-
A.
internationalGoalsPerGameRatio
chosen
Indicates the ratio between the number of goals an entity scores in international matches and the number of international games it plays.
-
B.
goalsForNationalTeam
Indicates the number of goals an individual has scored while playing for their national team.
-
C.
playedForNationalTeamFrom
Indicates that an entity was a member of and played for a particular national team starting from a specified date or time period.
-
D.
hasPlayedForNationalTeam
Indicates that an athlete has been a member of and appeared in competition for a specified national team.
-
E.
playedForNationalTeamUntil
Indicates that an individual was a member of and actively played for a specified national team up to and including a particular end date or year.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
Created at: April 8, 2026, 9:42 p.m.