Triple
T11793813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Jean de Montmartre |
E280453
|
entity |
| Predicate | facadeDecoration |
P31480
|
FINISHED |
| Object | polychrome ceramic tiles |
—
|
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: polychrome ceramic tiles | Statement: [Saint-Jean de Montmartre, facadeDecoration, polychrome ceramic tiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facadeDecoration Context triple: [Saint-Jean de Montmartre, facadeDecoration, polychrome ceramic tiles]
-
A.
facadeFeature
chosen
Indicates that one element functions as a distinct architectural or design feature on the façade of another structure.
-
B.
façadeDesigner
Indicates that one entity is responsible for designing the façade (external face) of a building or structure for another entity.
-
C.
façadeDescription
Indicates a textual description that characterizes the appearance, style, or features of a building’s façade.
-
D.
façadeCommissionedBy
Indicates that the design or creation of a building’s façade was formally requested, authorized, or ordered by a specific person or organization.
-
E.
façadeType
Indicates the specific kind or style of façade that characterizes or is applied to a building 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a082d08190a42541396a06ed98 |
completed | April 10, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.