Triple
T26427830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RDF 1.1 TriG – RDF Dataset Language |
E664414
|
entity |
| Predicate | serializationFor |
P77631
|
FINISHED |
| Object | RDF datasets |
—
|
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: RDF datasets | Statement: [RDF 1.1 TriG – RDF Dataset Language, serializationFor, RDF datasets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serializationFor Context triple: [RDF 1.1 TriG – RDF Dataset Language, serializationFor, RDF datasets]
-
A.
serializationFormatFor
chosen
Indicates the data serialization format used to encode or represent a given resource or entity.
-
B.
serializedIn
Indicates that something is published or presented in sequential installments within a larger medium or series.
-
C.
originalSerialization
Indicates that one entity is the initial or source serialized form from which another serialized representation is derived.
-
D.
serialized
Indicates that one entity has been converted into a sequential, storable or transmittable data format representing its structure or state.
-
E.
serializationBehavior
Indicates how an entity or its properties are converted to and from a serialized form (such as JSON or XML), including what is included, excluded, or transformed during that process.
- 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f611bbb9fc8190b54a32b3bf2152a0 |
completed | May 2, 2026, 3:01 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 11:47 p.m.