Triple
T33437125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simple Features |
E856261
|
entity |
| Predicate | definesSpatialPredicate |
P196992
|
FINISHED |
| Object | Equals |
—
|
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: Equals | Statement: [Simple Features, definesSpatialPredicate, Equals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesSpatialPredicate Context triple: [Simple Features, definesSpatialPredicate, Equals]
-
A.
spatialRelation
Indicates a spatial relationship between entities, specifying how one is positioned or located relative to another in space.
-
B.
spatialFunction
Indicates a spatially defined role or function that one entity serves relative to another within a physical or geometric context.
-
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.
hasSpatialConcept
Indicates a relationship where one entity is associated with, defined by, or characterized through a particular spatial concept or spatial configuration.
-
E.
supportsSpatialQueries
Indicates that the subject system or component is capable of performing spatial (location- or geometry-based) queries on data.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
| PDg | Predicate description generation | batch_69fe72db8810819089e397961b8ead7a |
completed | May 8, 2026, 11:33 p.m. |
Created at: May 1, 2026, 1:36 a.m.