Triple
T30785778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中銀カプセルタワービル |
E783950
|
entity |
| Predicate | コンセプト |
P83760
|
FINISHED |
| Object | 都市のカプセル化 |
—
|
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: 都市のカプセル化 | Statement: [中銀カプセルタワービル, コンセプト, 都市のカプセル化]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: コンセプト Context triple: [中銀カプセルタワービル, コンセプト, 都市のカプセル化]
-
A.
featuredConcept
Indicates that one concept is highlighted or given special prominence relative to others in a particular context.
-
B.
conceptualizedFor
chosen
Indicates that one entity has been conceived, designed, or mentally framed specifically for use, application, or relevance to another entity.
-
C.
detailsConcept
Indicates that one entity provides additional information, clarification, or elaboration about a concept represented by another entity.
-
D.
inspirationConcept
Indicates that one concept serves as a source of inspiration or creative influence for another concept.
-
E.
isConceptual
Indicates that something exists as an abstract or theoretical idea rather than as a concrete, physical 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_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.