Triple
T30785950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 国立文楽劇場 |
E783954
|
entity |
| Predicate | 設備 |
P43299
|
FINISHED |
| Object | 文楽専用の舞台装置 |
—
|
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: 文楽専用の舞台装置 | Statement: [国立文楽劇場, 設備, 文楽専用の舞台装置]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 設備 Context triple: [国立文楽劇場, 設備, 文楽専用の舞台装置]
-
A.
device
chosen
Indicates that one entity is a device used, controlled, or referenced by another entity in the relationship.
-
B.
ターミナル設備
Indicates a relationship where terminal facilities (such as stations, ports, or terminals) are provided, used, or involved as key infrastructure in a transportation or logistics context.
-
C.
equipmentProvider
Indicates that one entity supplies or makes available equipment for use by another entity.
-
D.
builtDevice
Indicates that one entity constructed or assembled a device for or associated with another entity.
-
E.
hardwareUsed
Indicates that a particular piece of hardware is utilized or employed in performing an action, process, or function involving another entity.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f690097c9c81909858e7d8c15474da |
completed | May 3, 2026, midnight |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:41 p.m.