Triple
T32723411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Davis Cup team |
E836736
|
entity |
| Predicate | mostDavisCupTitlesRecord |
P174841
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [United States Davis Cup team, mostDavisCupTitlesRecord, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostDavisCupTitlesRecord Context triple: [United States Davis Cup team, mostDavisCupTitlesRecord, true]
-
A.
davisCupTitle
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.
mixedDoublesChampions
Indicates that the related entities together won a mixed doubles championship in a given event or competition.
-
D.
grandSlamDoublesTitles
Indicates the number of Grand Slam tennis doubles titles an entity has won.
-
E.
WimbledonDoublesChampion
Indicates that the subject has won the doubles championship title at the Wimbledon tennis 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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8b484b48190b5c37ba1c3101056 |
completed | May 3, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c77500a08190b2bdeca33bd2ac08 |
completed | May 3, 2026, 3:56 a.m. |
Created at: May 1, 2026, 1:11 a.m.