Triple
T1492141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RDF |
E29602
|
entity |
| Predicate | definedInSpecification |
P5374
|
FINISHED |
| Object |
RDF 1.1 N-Quads
RDF 1.1 N-Quads is a W3C serialization format for RDF datasets that extends N-Triples by supporting named graphs through four-part statements.
|
E171300
|
NE FINISHED |
How this triple was built (4 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: RDF 1.1 N-Quads | Statement: [RDF, definedInSpecification, RDF 1.1 N-Quads]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RDF 1.1 N-Quads Context triple: [RDF, definedInSpecification, RDF 1.1 N-Quads]
-
A.
RDF
RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
-
B.
RDFS
RDFS (RDF Schema) is a semantic web vocabulary language used to define the structure, classes, and properties of RDF data.
-
C.
Cool URIs for the Semantic Web
Cool URIs for the Semantic Web is a W3C note that provides best-practice guidelines on designing stable, resolvable web identifiers (URIs) for publishing and linking semantic web data.
-
D.
OWL 2 RL
OWL 2 RL is a profile of the Web Ontology Language designed for scalable reasoning using rule-based systems, enabling efficient inference over large datasets.
-
E.
OWL 2 QL
OWL 2 QL is a lightweight profile of the Web Ontology Language designed to enable efficient query answering over large datasets using standard relational database technologies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RDF 1.1 N-Quads Triple: [RDF, definedInSpecification, RDF 1.1 N-Quads]
Generated description
RDF 1.1 N-Quads is a W3C serialization format for RDF datasets that extends N-Triples by supporting named graphs through four-part statements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RDF 1.1 N-Quads Target entity description: RDF 1.1 N-Quads is a W3C serialization format for RDF datasets that extends N-Triples by supporting named graphs through four-part statements.
-
A.
RDF
RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
-
B.
RDFS
RDFS (RDF Schema) is a semantic web vocabulary language used to define the structure, classes, and properties of RDF data.
-
C.
Cool URIs for the Semantic Web
Cool URIs for the Semantic Web is a W3C note that provides best-practice guidelines on designing stable, resolvable web identifiers (URIs) for publishing and linking semantic web data.
-
D.
OWL 2 RL
OWL 2 RL is a profile of the Web Ontology Language designed for scalable reasoning using rule-based systems, enabling efficient inference over large datasets.
-
E.
OWL 2 QL
OWL 2 QL is a lightweight profile of the Web Ontology Language designed to enable efficient query answering over large datasets using standard relational database technologies.
- F. None of above. chosen
Provenance (5 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c4f0c88190a97ba4910c1a5d85 |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1ca98e64819097916eb7717e6364 |
completed | March 8, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69ad1d34656481909949b4bfd83c6142 |
completed | March 8, 2026, 6:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad1dd7b34c8190b6957be2112506dd |
completed | March 8, 2026, 6:57 a.m. |
Created at: March 1, 2026, 8:12 p.m.