Triple
T35804215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoin-zukuri |
E1035062
|
entity |
| Predicate | layoutPrinciple |
P6038
|
FINISHED |
| Object | hierarchical arrangement of rooms around main audience hall |
—
|
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: hierarchical arrangement of rooms around main audience hall | Statement: [Shoin-zukuri, layoutPrinciple, hierarchical arrangement of rooms around main audience hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: layoutPrinciple Context triple: [Shoin-zukuri, layoutPrinciple, hierarchical arrangement of rooms around main audience hall]
-
A.
designPrinciplesInclude
Indicates that a set of design principles contains or incorporates specific principles as part of it.
-
B.
layoutSupport
Indicates that one entity provides or enables structural or spatial arrangement capabilities for another entity.
-
C.
formationPrinciple
chosen
Indicates the underlying rule, pattern, or principle according to which something is formed, structured, or brought into existence.
-
D.
layoutShape
Indicates a spatial or structural arrangement relationship where one entity defines or influences the geometric shape or configuration of another.
-
E.
layoutOptions
Indicates how elements are arranged or positioned relative to each other within a given space or structure.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.