Triple
T30785774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中銀カプセルタワービル |
E783950
|
entity |
| Predicate | カプセル設備 |
P158951
|
FINISHED |
| Object | ベッド |
—
|
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: ベッド | Statement: [中銀カプセルタワービル, カプセル設備, ベッド]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: カプセル設備 Context triple: [中銀カプセルタワービル, カプセル設備, ベッド]
-
A.
capsuleSystem
Indicates a relationship where an entity functions as or belongs to a capsule-based system (e.g., a system organized around or implemented via capsules).
-
B.
capsule
Indicates that one entity is a capsule containing, enclosing, or encapsulating another entity.
-
C.
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.
-
D.
capsuleType
Indicates the specific kind or category of capsule associated with an entity.
-
E.
capsuleFeature
chosen
Indicates that something possesses a characteristic, attribute, or property specifically related to a capsule.
- 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_69f68fe8168c8190b083be0e33988b9c |
completed | May 2, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:41 p.m.