Triple
T35167791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Prefectural Gymnasium |
E1015452
|
entity |
| Predicate | hasMainArenaSurface |
P192844
|
FINISHED |
| Object | wooden floor |
—
|
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: wooden floor | Statement: [Osaka Prefectural Gymnasium, hasMainArenaSurface, wooden floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainArenaSurface Context triple: [Osaka Prefectural Gymnasium, hasMainArenaSurface, wooden floor]
-
A.
homeArenaSurface
Indicates the type of playing surface used in an entity’s home arena.
-
B.
hasSportsSurface
chosen
Indicates that one entity (typically a sports facility or area) is characterized by or equipped with a particular type of sports surface.
-
C.
hasCourtSurface
Indicates that something (such as a court or playing area) possesses a specific type of surface.
-
D.
hasPrimaryArena
Indicates that an entity is associated with its main or principal arena where it primarily hosts or performs its activities.
-
E.
homeFieldSurface
Indicates the type of playing surface used at a team's home field or stadium.
- 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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0204dafcc08190868a6f3eab162505 |
completed | May 11, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_6a0202dc60348190a140bb9da906f5b6 |
completed | May 11, 2026, 4:25 p.m. |
Created at: May 3, 2026, 4:02 p.m.