Triple
T14603008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persian gardens |
E342748
|
entity |
| Predicate | hasSpatialFeature |
P95098
|
FINISHED |
| Object | enclosed rectangular plot |
—
|
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: enclosed rectangular plot | Statement: [Persian gardens, hasSpatialFeature, enclosed rectangular plot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpatialFeature Context triple: [Persian gardens, hasSpatialFeature, enclosed rectangular plot]
-
A.
hasSpatialConcept
chosen
Indicates a relationship where one entity is associated with, defined by, or characterized through a particular spatial concept or spatial configuration.
-
B.
supportsSpatialQueries
Indicates that the subject system or component is capable of performing spatial (location- or geometry-based) queries on data.
-
C.
spatialProperty
Indicates a relationship where one entity has a specific spatial characteristic, such as position, size, orientation, or geometric configuration in space, relative to a reference frame or other entities.
-
D.
hasSpatialResolution
Indicates that something is characterized by a specific level of spatial detail or granularity at which it can represent or distinguish features in space.
-
E.
spatialRepresentation
Indicates that one entity serves as a spatial depiction, model, or encoding of the location, layout, or geometric properties of another entity.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43a1bb48190bf520cb961f15b5e |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.