Triple
T13438808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôtel de Crillon |
E320298
|
entity |
| Predicate | façadeTypology |
P31596
|
FINISHED |
| Object | royal square palace front |
—
|
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: royal square palace front | Statement: [Hôtel de Crillon, façadeTypology, royal square palace front]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: façadeTypology Context triple: [Hôtel de Crillon, façadeTypology, royal square palace front]
-
A.
façadeType
chosen
Indicates the specific kind or style of façade that characterizes or is applied to a building or structure.
-
B.
façadeDescription
Indicates a textual description that characterizes the appearance, style, or features of a building’s façade.
-
C.
façadeDesigner
Indicates that one entity is responsible for designing the façade (external face) of a building or structure for another entity.
-
D.
façadeShape
Indicates the geometric form or configuration of a building’s façade.
-
E.
façadeCompletedBy
Indicates that the completion or finishing of a building’s façade is carried out by a specified agent or party.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee5ec488190bd0c1e990dbd2bc2 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.