Triple
T34955665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | qemacs |
E1008116
|
entity |
| Predicate | supportsMultipleBuffers |
P155567
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [qemacs, supportsMultipleBuffers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultipleBuffers Context triple: [qemacs, supportsMultipleBuffers, true]
-
A.
supportsMultipleStreams
Indicates that the subject is capable of handling or maintaining more than one data or communication stream at the same time.
-
B.
hasBuffers
chosen
Indicates that one entity possesses, contains, or is associated with one or more buffer structures or buffering resources in relation to another entity.
-
C.
supportsMultipleStacks
Indicates that the subject is capable of handling or maintaining more than one stack simultaneously.
-
D.
supportsMultipleObjects
Indicates that the relationship or action can simultaneously involve or apply to more than one object at the same time.
-
E.
supportsMultipleRanges
Indicates that an entity can handle, accept, or operate over more than one distinct range of values or intervals.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.