Triple
T24902803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebound Ace |
E623623
|
entity |
| Predicate | statusAtAustralianOpen |
P159045
|
FINISHED |
| Object | former official surface |
—
|
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: former official surface | Statement: [Rebound Ace, statusAtAustralianOpen, former official surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAtAustralianOpen Context triple: [Rebound Ace, statusAtAustralianOpen, former official surface]
-
A.
australianOpenSinglesTitles
Indicates the number of Australian Open singles titles one entity has won.
-
B.
grandSlamBestResultAustralianOpen
Indicates the best performance or highest round an entity has achieved specifically at the Australian Open in Grand Slam competition.
-
C.
wonAustralianOpenSinglesYear
Indicates that the subject won the Australian Open singles tennis title in the specified year.
-
D.
tennisStatus
Indicates the current state or condition of an entity in the context of tennis, such as whether they are playing, available, or in a particular match-related status.
-
E.
replacedAsAustralianOpenVenueBy
Indicates that one venue previously hosting the Australian Open was succeeded and taken over in that role by another venue.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 18, 2026, 5:27 a.m.