Triple
T16619548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellesguard |
E403786
|
entity |
| Predicate | hasArchitecturalPlanType |
P123576
|
FINISHED |
| Object | rectangular ground plan |
—
|
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: rectangular ground plan | Statement: [Bellesguard, hasArchitecturalPlanType, rectangular ground plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArchitecturalPlanType Context triple: [Bellesguard, hasArchitecturalPlanType, rectangular ground plan]
-
A.
hasArchitecturalFeature
Indicates that one entity possesses, includes, or is characterized by a specific architectural feature or element.
-
B.
hasArchitecturalDiscipline
Indicates that one entity is associated with, practices, or specializes in a particular architectural discipline or field.
-
C.
architecturalPlanner
Indicates a relationship where an entity is responsible for designing, organizing, or planning the architectural structure or layout of another entity.
-
D.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
E.
hasArchType
Indicates that one entity possesses or is characterized by a particular architectural type or style.
- F. None of above. chosen
Provenance (4 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754c934c8190a0a8ddd747681aa7 |
completed | April 18, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.