Triple
T27612467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 1067 |
E700360
|
entity |
| Predicate | definesDataType |
P33715
|
FINISHED |
| Object | OBJECT IDENTIFIER |
—
|
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: OBJECT IDENTIFIER | Statement: [RFC 1067, definesDataType, OBJECT IDENTIFIER]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesDataType Context triple: [RFC 1067, definesDataType, OBJECT IDENTIFIER]
-
A.
definesType
Indicates that one entity specifies or establishes the type or classification of another entity.
-
B.
definitionType
Indicates the specific kind or category of definition that characterizes how one entity is defined in relation to another.
-
C.
definesMessageType
Indicates that one entity specifies or determines the message type classification or category for another entity.
-
D.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
-
E.
dataTypes
chosen
Indicates that one entity specifies or defines the kinds or formats of data that are valid or expected for 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 27, 2026, 2:11 p.m.