Triple
T19515815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Yakult Swallows |
E488273
|
entity |
| Predicate | usesBattingTheme |
P136209
|
FINISHED |
| Object | Tokyo Ondo umbrella dance |
—
|
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: Tokyo Ondo umbrella dance | Statement: [Tokyo Yakult Swallows, usesBattingTheme, Tokyo Ondo umbrella dance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBattingTheme Context triple: [Tokyo Yakult Swallows, usesBattingTheme, Tokyo Ondo umbrella dance]
-
A.
usesBatAndBall
Indicates that the action or activity involves the use of both a bat and a ball together.
-
B.
battingType
Indicates the style or handedness with which a player bats (e.g., right-handed, left-handed, or both).
-
C.
usesMetalBats
Indicates that the subject employs metal bats as the equipment used in the relevant activity or context.
-
D.
usesWoodBats
Indicates that the subject performs an action or participates in an activity using bats made of wood rather than other materials.
-
E.
batterBats
Indicates that a batter swings the bat at a pitched ball.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359b90f08190b38359dc9e97e11c |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004d3a708190a1c13c8f644f3926 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.