Triple
T17092621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | engraving by Antoine Lafréry |
E414762
|
entity |
| Predicate | depictsBuildingType |
P125859
|
FINISHED |
| Object | urban palace |
—
|
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: urban palace | Statement: [engraving by Antoine Lafréry, depictsBuildingType, urban palace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsBuildingType Context triple: [engraving by Antoine Lafréry, depictsBuildingType, urban palace]
-
A.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
B.
describesBuilding
Indicates that one entity provides a description or characterization of a building entity.
-
C.
intendedBuildingType
Indicates the type of building that something is planned or designed to be.
-
D.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
E.
publicBuilding
Indicates that a building is designated for public use or access, typically serving communal, governmental, or civic functions.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfabf548190a0d37bab3d4ef2fa |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e37542d060819082aa73948eb8ebd4 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:35 a.m.