Triple
T37023075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josef Masopust |
E916272
|
entity |
| Predicate | leagueTitlesWonWithDuklaPrague |
P111762
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Josef Masopust, leagueTitlesWonWithDuklaPrague, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueTitlesWonWithDuklaPrague Context triple: [Josef Masopust, leagueTitlesWonWithDuklaPrague, 8]
-
A.
numberOfCzechoslovakTitles
Indicates the number of titles or championships an entity has won in Czechoslovakia.
-
B.
numberOfDFBPokalTitles
Indicates the number of DFB-Pokal titles that an entity has won.
-
C.
leagueTitleWonWithClub
chosen
Indicates that a person has won a league title while playing for or being associated with a specific club.
-
D.
associatedClubBosnianTitles
Indicates that there is an association between an entity and the Bosnian championship titles won by a specific club.
-
E.
cupTitleWonWithClub
Indicates that a specific cup title was won by a player while playing for a particular club.
- 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_69f76e920dc48190acb6bb7ebc4dffab |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.