Triple
T16040335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capability Maturity Model |
E389077
|
entity |
| Predicate | maturityLevel3Name |
P121713
|
FINISHED |
| Object | Defined |
—
|
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: Defined | Statement: [Capability Maturity Model, maturityLevel3Name, Defined]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maturityLevel3Name Context triple: [Capability Maturity Model, maturityLevel3Name, Defined]
-
A.
maturityType
Indicates the kind or category of maturity associated with an entity, such as how or when an obligation, product, or process reaches its full or due state.
-
B.
certificationLevel
Indicates the specific rank or degree of formal qualification or authorization that an entity has achieved within a defined certification system.
-
C.
mandateLevel
Indicates the degree or strictness of obligation imposed by a rule, policy, or authority on an action or relationship.
-
D.
thirdLevelRepresents
Indicates that something serves as a representation or abstraction of another thing at a third level in a hierarchical or multi-level representational structure.
-
E.
designationLevel
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:56 a.m.