Triple
T6396947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | anti-de Sitter space |
E143964
|
entity |
| Predicate | hasSectionalCurvatureSign |
P4461
|
FINISHED |
| Object | negative |
—
|
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: negative | Statement: [anti-de Sitter space, hasSectionalCurvatureSign, negative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSectionalCurvatureSign Context triple: [anti-de Sitter space, hasSectionalCurvatureSign, negative]
-
A.
hasCurvatureInvariant
chosen
Indicates that one entity possesses a specific curvature-related invariant property or value associated with its geometric or mathematical structure.
-
B.
isGeodesicallyComplete
Indicates that every geodesic in the given space can be extended indefinitely in both directions without leaving the space.
-
C.
isRiemannianMetricOn
Indicates that one object serves as a Riemannian metric defined on another object, typically a manifold, specifying an inner product on each tangent space.
-
D.
hasCurvatureDivergence
Indicates that one entity exhibits a difference or variation in curvature relative to another entity or reference.
-
E.
isConformallyFlat
Indicates that a geometric space or metric can be transformed by a smooth, position-dependent scaling into a flat (Euclidean or Minkowski) metric, preserving angles but not necessarily lengths.
- 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.