Triple
T37897787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sogetsu school |
E945327
|
entity |
| Predicate | media used |
P33573
|
FINISHED |
| Object | vessels of any shape or material |
—
|
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: vessels of any shape or material | Statement: [Sogetsu school, media used, vessels of any shape or material]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: media used Context triple: [Sogetsu school, media used, vessels of any shape or material]
-
A.
mediaUse
chosen
Indicates that an entity makes use of, consumes, or engages with a particular medium or media resource.
-
B.
usedByMediaIn
Indicates that something is employed or utilized within a particular media work or medium.
-
C.
usedByMedia
Indicates that something is employed or utilized by media organizations or media-related channels.
-
D.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
-
E.
mediaDisplayed
Indicates that a particular piece of media is shown or presented to an audience or user in a given context.
- 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:19 p.m.