Triple
T379066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricci curvature tensor |
E8635
|
entity |
| Predicate | transformationProperty |
P12686
|
FINISHED |
| Object | tensorial under coordinate changes |
—
|
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: tensorial under coordinate changes | Statement: [Ricci curvature tensor, transformationProperty, tensorial under coordinate changes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transformationProperty Context triple: [Ricci curvature tensor, transformationProperty, tensorial under coordinate changes]
-
A.
transformationLocation
Indicates the place or spatial context where a transformation or change of state occurs.
-
B.
identifiesPropertyOf
Indicates that one entity specifies or denotes a particular property or attribute belonging to another entity.
-
C.
recognizedFormOfProperty
Indicates that one entity is acknowledged or accepted as a valid or official form, variant, or representation of a particular property associated with another entity.
-
D.
providesProperty
Indicates that one entity supplies, grants, or makes a particular property or attribute available to another entity.
-
E.
appliesToPropertyType
Indicates that something (such as a rule, constraint, or operation) is relevant to or valid for a specific type of property.
- F. None of above. chosen
Provenance (4 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2974988190a1d6316cbb5159c8 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e964d4b481909290e474b0341e3c |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2eae0bd7081908197bbf5c55fe647 |
completed | Feb. 28, 2026, 1:17 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.