Triple
T6396975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | anti-de Sitter space |
E143964
|
entity |
| Predicate | isEmbeddingSpace |
P7030
|
FINISHED |
| Object | hyperboloid in R^{2,d-1} |
—
|
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: hyperboloid in R^{2,d-1} | Statement: [anti-de Sitter space, isEmbeddingSpace, hyperboloid in R^{2,d-1}]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEmbeddingSpace
Context triple: [anti-de Sitter space, isEmbeddingSpace, hyperboloid in R^{2,d-1}]
-
A.
embeddingType
chosen
Indicates the specific kind or category of embedding representation used to encode an entity or data.
-
B.
canBeEmbeddedIn
Indicates that one entity can be inserted or integrated within another entity, typically preserving structure or compatibility.
-
C.
seedSpace
Indicates a relationship where an entity provides or occupies an initial area, context, or capacity from which growth, development, or further allocation can begin.
-
D.
hasDimensionality
Indicates that an entity possesses a specific number of dimensions or a particular dimensional structure.
-
E.
isLowerDimensionalAnalogOf
Indicates that one entity represents a version or counterpart of another entity in a lower number of dimensions, preserving analogous structure or properties.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068953968819083a94f5de3e11819 |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f25c088190b433f78553ff1d84 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:35 p.m.