Triple
T3578056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirk Nowitzki |
E75733
|
entity |
| Predicate | EuroBasketAppearances |
P18049
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Dirk Nowitzki, EuroBasketAppearances, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EuroBasketAppearances Context triple: [Dirk Nowitzki, EuroBasketAppearances, multiple]
-
A.
FIBAcompetitionParticipation
Indicates that an entity takes part as a competitor in a basketball competition organized under FIBA.
-
B.
fibaWorldCupTitles
Indicates the number of FIBA Basketball World Cup championships an entity has won.
-
C.
FIBAZone
Indicates the continental basketball federation or geographic zone under FIBA with which an entity (such as a team, federation, or event) is affiliated.
-
D.
EuropeanChampionshipAppearances
chosen
Indicates the number of times an entity has participated in a European Championship tournament.
-
E.
NBAFinalsAppearances
Indicates the number of times an entity has participated in the NBA Finals series.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0dd3e048190a0c6666e13ead9cd |
completed | March 8, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.