Triple
T13823702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prada Aoyama Tokyo |
E332196
|
entity |
| Predicate | façadePattern |
P31480
|
FINISHED |
| Object | diamond-shaped grid |
—
|
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: diamond-shaped grid | Statement: [Prada Aoyama Tokyo, façadePattern, diamond-shaped grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: façadePattern Context triple: [Prada Aoyama Tokyo, façadePattern, diamond-shaped grid]
-
A.
façadeDescription
Indicates a textual description that characterizes the appearance, style, or features of a building’s façade.
-
B.
façadeDesigner
Indicates that one entity is responsible for designing the façade (external face) of a building or structure for another entity.
-
C.
facadeFeature
chosen
Indicates that one element functions as a distinct architectural or design feature on the façade of another structure.
-
D.
façadeType
Indicates the specific kind or style of façade that characterizes or is applied to a building or structure.
-
E.
façadeShape
Indicates the geometric form or configuration of a building’s façade.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0285fb7c8190be4b90bdc0d6fa53 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.