Triple
T7008416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cain Arena |
E162517
|
entity |
| Predicate | roleDuringTournament |
P33874
|
FINISHED |
| Object | main show court at Australian Open |
—
|
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: main show court at Australian Open | Statement: [John Cain Arena, roleDuringTournament, main show court at Australian Open]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleDuringTournament Context triple: [John Cain Arena, roleDuringTournament, main show court at Australian Open]
-
A.
playInTournamentIntroduced
Indicates that an entity participates as a player in a specific tournament that has been newly introduced or added.
-
B.
competitionRole
chosen
Indicates that an entity holds a specific role, position, or function within a competitive event or contest.
-
C.
scoredInTournament
Indicates that an entity achieved a score or points during a particular tournament.
-
D.
playedInTournament
Indicates that an entity participated as a competitor or player in a specific tournament.
-
E.
usedInTournamentTables
Indicates that something (such as a rule, format, or data structure) is employed within the context of tournament tables.
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc36e3fc8190957445132a9ffb5f |
completed | March 27, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.