Triple
T10912816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casa Vicens |
E257743
|
entity |
| Predicate | ornamentationCharacteristic |
P86416
|
FINISHED |
| Object | eclectic ornamentation |
—
|
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: eclectic ornamentation | Statement: [Casa Vicens, ornamentationCharacteristic, eclectic ornamentation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ornamentationCharacteristic Context triple: [Casa Vicens, ornamentationCharacteristic, eclectic ornamentation]
-
A.
ornamentationStyle
chosen
Indicates the decorative design or stylistic approach applied as ornamentation to an entity.
-
B.
ornamentalFeature
Indicates that one entity serves as a decorative or embellishing feature of another entity.
-
C.
decorativeComplexity
Indicates the degree or richness of ornamental detail or embellishment present in something.
-
D.
adornedWith
Indicates that one entity is decorated, embellished, or ornamented by another entity.
-
E.
hasOrnamentation
Indicates that an entity possesses decorative features or embellishments applied to its surface 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707310b0819092d0140acc3c64ba |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d70d3f9dc88190a686a8b0dd6a3b21 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.