Triple
T10360613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 4519 |
E244122
|
entity |
| Predicate | definesObjectClass |
P56536
|
FINISHED |
| Object | person |
—
|
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: person | Statement: [RFC 4519, definesObjectClass, person]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesObjectClass Context triple: [RFC 4519, definesObjectClass, person]
-
A.
definesClassification
Indicates that one entity specifies or establishes the classification or category to which another entity belongs.
-
B.
definesEntity
Indicates that one entity specifies, determines, or establishes the identity, nature, or boundaries of another entity.
-
C.
operatorClass
Indicates the classification or category of an operator in terms of its type, role, or functional group within a system or domain.
-
D.
definesType
chosen
Indicates that one entity specifies or establishes the type or classification of another entity.
-
E.
exampleClass
Indicates that the subject belongs to, is categorized under, or serves as an instance of a particular class or type.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9609c4481908b7d72ecf1adaa73 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:59 a.m.