Triple
T24552352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awaji Ningyō Jōruri puppet theater |
E607406
|
entity |
| Predicate | puppetSize |
P137048
|
FINISHED |
| Object | approximately one meter tall |
—
|
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: approximately one meter tall | Statement: [Awaji Ningyō Jōruri puppet theater, puppetSize, approximately one meter tall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: puppetSize Context triple: [Awaji Ningyō Jōruri puppet theater, puppetSize, approximately one meter tall]
-
A.
puppetHeight
chosen
Indicates the height measurement associated with a puppet in the relationship.
-
B.
sizeType
Indicates the kind or category of size associated with an entity, such as relative scale, measurement type, or size classification.
-
C.
packagingSize
Indicates the specific quantity or physical dimensions in which a product is packaged for sale or distribution.
-
D.
weightSize
Indicates a relationship between an entity’s weight and its physical size, typically expressing how one varies or is characterized in terms of the other.
-
E.
platformSize
Indicates the relative or absolute size or dimensions of a platform in relation to something else.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8cdb6b88190ad17a9b3ba607fb3 |
completed | April 30, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.