Triple
T27584894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meta Object Facility |
E699667
|
entity |
| Predicate | layerInArchitecture |
P36580
|
FINISHED |
| Object | meta-metamodel layer |
—
|
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: meta-metamodel layer | Statement: [Meta Object Facility, layerInArchitecture, meta-metamodel layer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: layerInArchitecture Context triple: [Meta Object Facility, layerInArchitecture, meta-metamodel layer]
-
A.
layerOf
chosen
Indicates that one entity forms a distinct layer or stratum of another entity within a structured or composite whole.
-
B.
frameworkLayer
Indicates a relationship where one framework is organized within, built upon, or conceptually assigned to a particular architectural or conceptual layer.
-
C.
layerStructure
Indicates a relationship where one entity is organized in or assigned to a specific layer or hierarchical level within a structured system.
-
D.
layerType
Indicates the specific kind or category of layer that an entity belongs to or is classified as.
-
E.
OSIModelLayer
Indicates the specific layer within the OSI (Open Systems Interconnection) model at which a networking function, protocol, or interaction operates.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f630197e588190aa67eea748797157 |
completed | May 2, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:04 p.m.