Triple

T461829
Position Surface form Disambiguated ID Type / Status
Subject de Sitter spacetime E7354 entity
Predicate hasWeylTensor P4461 FINISHED
Object zero 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: zero | Statement: [de Sitter spacetime, hasWeylTensor, zero]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWeylTensor
Context triple: [de Sitter spacetime, hasWeylTensor, zero]
  • A. hasCurvatureInvariant chosen
    Indicates that one entity possesses a specific curvature-related invariant property or value associated with its geometric or mathematical structure.
  • B. metricTensorComponent
    Indicates the value of a specific component of the metric tensor that defines distances and angles in a given coordinate system or spacetime.
  • C. hasGeodesics
    Indicates that the subject possesses or is characterized by geodesic paths, typically representing shortest or straightest possible routes within a given space or geometry.
  • D. hasCoordinateSingularity
    Indicates that something possesses a point or region where its coordinate description becomes undefined or degenerate, even if the underlying object or space may remain well-behaved.
  • E. hasCurvatureDivergence
    Indicates that one entity exhibits a difference or variation in curvature relative to another entity or reference.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efbed5b88190a45716812eb4cfdf completed Feb. 28, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69a2ede8eac081908dffade6a5e7950b completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.