Triple
T21296032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palazzo Dario |
E524922
|
entity |
| Predicate | hasBasementOrGroundLevel |
P125052
|
FINISHED |
| Object | water-level entrance for boats |
—
|
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: water-level entrance for boats | Statement: [Palazzo Dario, hasBasementOrGroundLevel, water-level entrance for boats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBasementOrGroundLevel Context triple: [Palazzo Dario, hasBasementOrGroundLevel, water-level entrance for boats]
-
A.
hasBasement
Indicates that a building or structure includes a basement level as part of its physical layout.
-
B.
hasBasementFeature
chosen
Indicates that a property’s basement includes or is characterized by a specific feature or attribute.
-
C.
hasGroundFloor
Indicates that a building or structure includes a ground-level floor as part of its layout or design.
-
D.
hasFloorsAboveGround
Indicates that an entity (typically a building or structure) possesses a specified number of floors that are located above ground level.
-
E.
numberOfBasementLevels
Indicates the total count of basement levels associated with a given structure or property.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385858ec8190bdc9c5cdcb8d4507 |
completed | April 21, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:04 p.m.