Triple
T25044289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France Davis Cup team |
E627191
|
entity |
| Predicate | hasWonDavisCup |
P57446
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [France Davis Cup team, hasWonDavisCup, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonDavisCup Context triple: [France Davis Cup team, hasWonDavisCup, yes]
-
A.
davisCupTitle
chosen
Indicates that the subject has won a Davis Cup tennis title, specifying a championship victory in the Davis Cup competition.
-
B.
DavisCupFinalAppearances
Indicates the number of times an entity has reached the final round of the Davis Cup tennis competition.
-
C.
wonWimbledonSingles
Indicates that an entity has won the Wimbledon tennis tournament in the singles category.
-
D.
hasCountryRepresentedByWinners
Indicates that a given country is represented by one or more winners in a particular context, such as a competition or award.
-
E.
hasWonPresident’sCup
Indicates that an entity has achieved victory in a competition or league and been awarded the President’s Cup.
- 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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 18, 2026, 6:08 a.m.