Triple
T210675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kretschmann scalar |
E4709
|
entity |
| Predicate | invariantType |
P9160
|
FINISHED |
| Object | scalar polynomial invariant of Riemann tensor |
—
|
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: scalar polynomial invariant of Riemann tensor | Statement: [Kretschmann scalar, invariantType, scalar polynomial invariant of Riemann tensor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: invariantType Context triple: [Kretschmann scalar, invariantType, scalar polynomial invariant of Riemann tensor]
-
A.
invariantUnder
Indicates that a property, structure, or quantity remains unchanged when a specified transformation or operation is applied.
-
B.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
C.
typeOfInheritance
Indicates the kind or pattern of inheritance by which a trait, property, or characteristic is passed from one entity or generation to another.
-
D.
injectionType
Indicates the specific method or form by which an injection is administered or delivered.
-
E.
dimensionType
Indicates the specific kind or category of dimension that characterizes how something is measured or structured.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b4f71b88190866c8262922ae204 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25d3463648190ac716d7475378536 |
completed | Feb. 28, 2026, 3:12 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.