Triple
T29606308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Request for Comments 8259 |
E754584
|
entity |
| Predicate | definesDataModelElement |
P144422
|
FINISHED |
| Object | JSON object |
—
|
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: JSON object | Statement: [Request for Comments 8259, definesDataModelElement, JSON object]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesDataModelElement Context triple: [Request for Comments 8259, definesDataModelElement, JSON object]
-
A.
definesElement
Indicates that one entity specifies or determines the nature, structure, or identity of another entity as its defining element.
-
B.
dataModel
Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
-
C.
definedInModel
Indicates that an element or concept is specified, structured, or formally represented within a particular model.
-
D.
dataModelSupport
Indicates that one entity provides compatibility with, or is capable of operating using, the data model defined or required by another entity.
-
E.
dataTypeModel
chosen
Indicates that one entity serves as the data type or schema model that defines the structure or format of another entity.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: April 28, 2026, 6:25 p.m.