Triple
T36315867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Sant Felip Neri |
E894188
|
entity |
| Predicate | hasBuildingStyleContext |
P52857
|
FINISHED |
| Object | Baroque surroundings |
—
|
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: Baroque surroundings | Statement: [School of Sant Felip Neri, hasBuildingStyleContext, Baroque surroundings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingStyleContext Context triple: [School of Sant Felip Neri, hasBuildingStyleContext, Baroque surroundings]
-
A.
hasBuildingStyleInSurroundings
chosen
Indicates that an entity is surrounded by or located in an area characterized by a particular building style.
-
B.
hasBuildingClass
Indicates that a building is categorized as belonging to a specific building class or type.
-
C.
hasBuildingPattern
Indicates that an entity exhibits or follows a particular architectural or structural building pattern.
-
D.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
E.
architecturalStyleIncludes
Indicates that a structure, building, or design incorporates or exemplifies a particular architectural style as one of its defining characteristics.
- 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_69f76e4d1a788190a6ab6ccca28547a7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 3, 2026, 4:09 p.m.