Triple
T9843828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauchy stress tensor |
E239289
|
entity |
| Predicate | independentComponentCount |
P90317
|
FINISHED |
| Object | 6 independent components for symmetric case in 3D |
—
|
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: 6 independent components for symmetric case in 3D | Statement: [Cauchy stress tensor, independentComponentCount, 6 independent components for symmetric case in 3D]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: independentComponentCount Context triple: [Cauchy stress tensor, independentComponentCount, 6 independent components for symmetric case in 3D]
-
A.
numberOfIndependentMatrices
Indicates the count of matrices in a set that are linearly independent from each other.
-
B.
dimensionOfComponents
Indicates that a specified dimension value is associated with, or applies to, the components of an object or system.
-
C.
dimensionCount
Indicates the number of distinct dimensions or axes associated with an entity or data structure.
-
D.
CMeans
Indicates that one concept or entity conveys, expresses, or serves as the means by which another concept or entity is understood or represented.
-
E.
numberOfIndicators
Indicates the total count of indicators associated with or relevant to a given entity or context.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb35dc29c819080203be5b904dc9d |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06ace53081909b5f81f382f6591e |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:33 p.m.