Triple
T33723472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadia Petrova |
E864079
|
entity |
| Predicate | wtaDoublesTitles |
P50354
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [Nadia Petrova, wtaDoublesTitles, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wtaDoublesTitles Context triple: [Nadia Petrova, wtaDoublesTitles, 24]
-
A.
wtaHighestDoublesRanking
Indicates the highest doubles ranking a player has achieved in the Women's Tennis Association (WTA) rankings.
-
B.
grandSlamDoublesTitles
Indicates the number of Grand Slam tennis doubles titles an entity has won.
-
C.
tourDoublesTitles
chosen
Indicates the number of doubles titles a player has won on the professional tennis tour.
-
D.
WimbledonDoublesChampion
Indicates that the subject has won the doubles championship title at the Wimbledon tennis tournament.
-
E.
AustralianOpenDoublesChampion
Indicates that the subject is the winner of the doubles competition at the Australian Open tennis tournament for a given year.
- 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_69f34989871c81908682e22a2fe4b829 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6faef878881909dca8cb225e687cb |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.