Triple
T3040011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sucha Beskidzka Castle |
E83101
|
entity |
| Predicate | hasCourtyardType |
P22480
|
FINISHED |
| Object | three-winged arcaded courtyard |
—
|
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: three-winged arcaded courtyard | Statement: [Sucha Beskidzka Castle, hasCourtyardType, three-winged arcaded courtyard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCourtyardType Context triple: [Sucha Beskidzka Castle, hasCourtyardType, three-winged arcaded courtyard]
-
A.
hasCourtyard
Indicates that one entity includes, features, or is characterized by the presence of a courtyard.
-
B.
courtyardShape
chosen
Indicates the geometric form or configuration that characterizes a courtyard.
-
C.
hasTerrace
Indicates that one entity includes, features, or is equipped with a terrace as part of its structure or property.
-
D.
hasGardenType
Indicates that an entity possesses or is associated with a garden of a specified type.
-
E.
hasTerraceComplex
Indicates that one entity possesses or includes a terrace that is part of a larger, interconnected terrace structure or complex.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b59fea8819091796e30812df9c5 |
completed | March 8, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.