Triple
T29464862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riesz projection |
E747348
|
entity |
| Predicate | isOrthogonalProjection |
P163899
|
FINISHED |
| Object | not necessarily |
—
|
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: not necessarily | Statement: [Riesz projection, isOrthogonalProjection, not necessarily]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOrthogonalProjection Context triple: [Riesz projection, isOrthogonalProjection, not necessarily]
-
A.
isProjectionOnto
chosen
Indicates that one entity represents the result of projecting another entity onto a specified subspace, axis, or component.
-
B.
hasProjectionSystem
Indicates that one entity uses or is defined by a particular coordinate or map projection system associated with another entity.
-
C.
hasOrthographicPreference
Indicates that one entity prefers or selects a particular written or spelling form of another entity.
-
D.
isIsometricTo
Indicates that two structures or spaces are related by a distance-preserving mapping, making them geometrically identical in shape and size.
-
E.
isProjectiveRepresentationOf
Indicates that one mathematical object represents another up to multiplication by scalar factors, preserving structure only up to a projective (rather than strictly linear) equivalence.
- 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_69f0bd4125f88190b56104591351619c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66ba6316c8190a84523b9bd642e9a |
completed | May 2, 2026, 9:24 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:52 p.m.