Triple
T10926812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Server Name Indication extension |
E258090
|
entity |
| Predicate | supportsNameType |
P96685
|
FINISHED |
| Object | host_name |
—
|
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: host_name | Statement: [Server Name Indication extension, supportsNameType, host_name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsNameType Context triple: [Server Name Indication extension, supportsNameType, host_name]
-
A.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
B.
supportsTestType
Indicates that one entity is capable of handling, executing, or being compatible with a specified type of test.
-
C.
supportsUserType
Indicates that one entity is compatible with, or provides functionality for, a specified type or category of user.
-
D.
supportsTargetType
Indicates that one entity is capable of operating with, handling, or being compatible with a specified target type.
-
E.
supportsModelType
Indicates that an entity is compatible with, or can operate using, a specified model type.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:22 p.m.