Triple
T6396990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | anti-de Sitter space |
E143964
|
entity |
| Predicate | hasCurvatureType |
P4461
|
FINISHED |
| Object | constant negative sectional curvature |
—
|
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: constant negative sectional curvature | Statement: [anti-de Sitter space, hasCurvatureType, constant negative sectional curvature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurvatureType Context triple: [anti-de Sitter space, hasCurvatureType, constant negative sectional curvature]
-
A.
hasCurvatureInvariant
chosen
Indicates that one entity possesses a specific curvature-related invariant property or value associated with its geometric or mathematical structure.
-
B.
isCurved
Indicates that an object or path deviates smoothly from a straight line, forming a bend or arc.
-
C.
hasCurvatureDivergence
Indicates that one entity exhibits a difference or variation in curvature relative to another entity or reference.
-
D.
allowsSpatialCurvature
Indicates that one entity permits or enables the presence or variation of spatial curvature in relation to another entity or context.
-
E.
hasKnotType
Indicates that one entity is characterized by, or associated with, a specific type or classification of knot.
- 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.