Triple
T2438514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casa Batlló |
E53218
|
entity |
| Predicate | hasFaçadeFeature |
P31480
|
FINISHED |
| Object | trencadís mosaic decoration |
—
|
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: trencadís mosaic decoration | Statement: [Casa Batlló, hasFaçadeFeature, trencadís mosaic decoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFaçadeFeature Context triple: [Casa Batlló, hasFaçadeFeature, trencadís mosaic decoration]
-
A.
facadeFeature
chosen
Indicates that one element functions as a distinct architectural or design feature on the façade of another structure.
-
B.
façadeType
Indicates the specific kind or style of façade that characterizes or is applied to a building or structure.
-
C.
façadeDescription
Indicates a textual description that characterizes the appearance, style, or features of a building’s façade.
-
D.
hasLEDFacade
Indicates that an entity features a facade equipped with LED lighting or LED display technology.
-
E.
hasArchitecturalFeature
Indicates that one entity possesses, includes, or is characterized by a specific architectural feature or element.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcebf7cac8190889e6890d72c256c |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5ac11b081908ce6a506e81a742a |
completed | March 7, 2026, 6:29 a.m. |
Created at: March 6, 2026, 9:43 p.m.