Triple
T23448217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferenc Puskás |
E565599
|
entity |
| Predicate | internationalAppearances |
P13109
|
FINISHED |
| Object | Hungary: 85 |
—
|
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: Hungary: 85 | Statement: [Ferenc Puskás, internationalAppearances, Hungary: 85]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internationalAppearances Context triple: [Ferenc Puskás, internationalAppearances, Hungary: 85]
-
A.
nationalTeamAppearances
chosen
Indicates the number of official matches in which an entity has represented its national team.
-
B.
playedInternationally
Indicates that an individual has participated in official international-level events or competitions representing a country or equivalent national entity.
-
C.
worldCupAppearances
Indicates the number of times an entity has participated in a FIFA World Cup tournament.
-
D.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
-
E.
worldCupAppearancesCount
Indicates the number of times an entity has participated in the FIFA World Cup tournament.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64b27988190b4722425da964407 |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:52 p.m.