Triple
T8823144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PTC Creo |
E209952
|
entity |
| Predicate | supportsModelingApproach |
P19966
|
FINISHED |
| Object | parametric modeling |
—
|
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: parametric modeling | Statement: [PTC Creo, supportsModelingApproach, parametric modeling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsModelingApproach Context triple: [PTC Creo, supportsModelingApproach, parametric modeling]
-
A.
supportsContributionModel
Indicates that one entity enables or is compatible with a particular model or framework for making contributions (such as donations, content, or resources).
-
B.
supportsModelType
chosen
Indicates that an entity is compatible with, or can operate using, a specified model type.
-
C.
includesApproach
Indicates that one entity incorporates, utilizes, or is characterized by a particular method, strategy, or approach in relation to another entity or context.
-
D.
supportsValidationOf
Indicates that one entity provides the mechanisms or conditions necessary for another entity to be checked or verified for correctness or compliance.
-
E.
supportsModelVariant
Indicates that one entity is capable of operating with, being compatible with, or otherwise accommodating a specific variant of a model.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc6030b25081909d67488b35a72e05 |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:46 p.m.