Triple
T26712423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RDF 1.1 family of specifications |
E673453
|
entity |
| Predicate | representationFramework |
P77640
|
FINISHED |
| Object | graph-based data model |
—
|
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: graph-based data model | Statement: [RDF 1.1 family of specifications, representationFramework, graph-based data model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representationFramework Context triple: [RDF 1.1 family of specifications, representationFramework, graph-based data model]
-
A.
representationSystem
chosen
Indicates a system or framework used to represent, encode, or symbolize information, concepts, or entities.
-
B.
representationType
Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
-
C.
representation
Indicates that one entity stands in for, symbolizes, or depicts another entity in some context.
-
D.
representationIn
Indicates that one entity serves as a depiction, model, or stand-in for another entity within a given context or medium.
-
E.
representationFocus
Indicates that the primary emphasis or attention in a representation is placed on a particular aspect, element, or subject within it.
- 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_69eecda3a22881908f3061c760b9d542 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 27, 2026, 3:36 a.m.