Triple
T16510572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gottfried von Cramm |
E401048
|
entity |
| Predicate | DavisCupFinalAppearances |
P123831
|
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: [Gottfried von Cramm, DavisCupFinalAppearances, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DavisCupFinalAppearances Context triple: [Gottfried von Cramm, DavisCupFinalAppearances, multiple]
-
A.
davisCupTitle
Indicates that the subject has won a Davis Cup tennis title, specifying a championship victory in the Davis Cup competition.
-
B.
ThomasCupTitle
Indicates that an entity (typically a team or country) has won the Thomas Cup championship title in badminton.
-
C.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world championship competition.
-
D.
WimbledonSinglesSemifinalAppearances
Indicates the number of times an entity has reached the singles semifinal round at the Wimbledon tennis tournament.
-
E.
worldCupFinalAppearance
Indicates that an entity has participated in the final match of a FIFA World Cup tournament.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e55fe7c8190abc957bdd326d1bc |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:14 a.m.