Triple
T30178194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuela Di Centa |
E767120
|
entity |
| Predicate | wonWorldCupOverallInSeason |
P31746
|
FINISHED |
| Object | 1993–1994 |
—
|
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: 1993–1994 | Statement: [Manuela Di Centa, wonWorldCupOverallInSeason, 1993–1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonWorldCupOverallInSeason Context triple: [Manuela Di Centa, wonWorldCupOverallInSeason, 1993–1994]
-
A.
WorldCupOverallTitleSeason
chosen
Indicates the season or year in which an entity secured an overall World Cup title.
-
B.
worldCupSeasonTitles
Indicates the number or list of World Cup season titles associated with an entity (such as a team, player, or nation).
-
C.
WorldCupSeasonTitles
Indicates the number of World Cup titles an entity has won in a given season or across seasons.
-
D.
worldCupWon
Indicates that the subject has won the FIFA World Cup tournament.
-
E.
numberOfWorldCupWins
Indicates how many times an entity has won 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f3f6930819088f6bb2c24573ebb |
completed | May 2, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:25 p.m.