Triple
T24155614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krzysztof Nowak |
E598668
|
entity |
| Predicate | shirtNumberAtVfLWolfsburg |
P154811
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Krzysztof Nowak, shirtNumberAtVfLWolfsburg, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shirtNumberAtVfLWolfsburg Context triple: [Krzysztof Nowak, shirtNumberAtVfLWolfsburg, 10]
-
A.
clubNumberAt1FFCFrankfurt
Indicates the jersey number a player wears or wore while playing for 1. FFC Frankfurt.
-
B.
hasShirtNumberRole
Indicates that an entity holds a specific shirt number assignment or role, typically within a team or roster context.
-
C.
clubNumberAtWestHam
Indicates the squad number a person wears or wore while playing for West Ham United Football Club.
-
D.
shirtNumberTradition
Indicates a conventional or historically established assignment or significance of a particular shirt number within a team or sport.
-
E.
shirtNumberType
Indicates the type or category of a shirt number assigned to an entity (for example, a player’s jersey number type).
- F. None of above. chosen
Provenance (4 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_69e288cb0a3081909ef221744f274384 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e0e4fc9c8190bafabb4f08a2db45 |
completed | April 29, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 11:31 p.m.