Triple
T10927049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ServerHello with extensions |
E258095
|
entity |
| Predicate | mayIncludeExtension |
P53912
|
FINISHED |
| Object | server_name extension |
—
|
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: server_name extension | Statement: [ServerHello with extensions, mayIncludeExtension, server_name extension]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayIncludeExtension Context triple: [ServerHello with extensions, mayIncludeExtension, server_name extension]
-
A.
mayIncludeFeature
chosen
Indicates that one entity is allowed or able to contain, incorporate, or be associated with a particular feature.
-
B.
mayExtendTo
Indicates that something has the potential or permission to reach, continue, or be applied up to a specified limit, scope, or boundary.
-
C.
definesExtension
Indicates that one entity specifies or establishes the extension, scope, or detailed form of another entity.
-
D.
supportsExtensionsFrom
Indicates that one entity is capable of recognizing, loading, or interoperating with extensions originating from another entity.
-
E.
mayAlsoBeProvidedAs
Indicates that something can optionally be supplied or made available in an alternative form or manner in addition to its primary provision.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709165188190aa30dd08deddade4 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d72e799f808190b6ab64fc7586a303 |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:22 p.m.