Triple
T35063887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FRBRoo |
E1011673
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | ontology alignment |
C61911
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: ontology alignment Context triple: [FRBRoo, instanceOf, ontology alignment]
-
A.
ontology syntax
Ontology syntax is the formal set of rules and notations used to represent, structure, and interrelate concepts and relationships within an ontology in a machine- and human-readable way.
-
B.
ontology
An ontology is a structured conceptual model that defines the entities, relationships, and rules within a specific domain to enable shared understanding and reasoning.
-
C.
Web ontology language
A web ontology language is a formal language designed for representing rich, machine-interpretable knowledge about concepts, relationships, and constraints on the web to enable automated reasoning and interoperability.
-
D.
Ontology-Based Data Access system
An Ontology-Based Data Access system is a framework that uses a formal ontology to provide a unified, semantic view over heterogeneous data sources, enabling users to query data at a conceptual level without needing to know the underlying schemas or storage details.
-
E.
linguistic alignment pattern
A linguistic alignment pattern is a systematic way in which a language organizes and marks the grammatical roles of participants in events (such as subjects, objects, and agents) across its morphology and syntax.
- F. None of above. chosen
Provenance (1 batch)
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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.