Triple
T7197452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gracemont |
E168650
|
entity |
| Predicate | supportsMultithreading |
P75685
|
FINISHED |
| Object | no Hyper-Threading |
—
|
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: no Hyper-Threading | Statement: [Gracemont, supportsMultithreading, no Hyper-Threading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultithreading Context triple: [Gracemont, supportsMultithreading, no Hyper-Threading]
-
A.
multitaskingSupport
Indicates that an entity is capable of performing multiple tasks or operations concurrently or in parallel.
-
B.
supportsMultipleStreams
Indicates that the subject is capable of handling or maintaining more than one data or communication stream at the same time.
-
C.
supportsParallelEncryption
Indicates that the subject is capable of performing encryption operations in parallel, rather than strictly sequentially.
-
D.
supportsMultiuser
Indicates that the subject is capable of handling or enabling simultaneous use by multiple users.
-
E.
multitaskingType
Indicates the specific way in which multiple tasks or activities are performed or managed concurrently in a given context.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e92a5d288190955f703470e75bf3 |
completed | March 27, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e8b5f6508190af28e06a7959d717 |
completed | March 27, 2026, 8:29 p.m. |
Created at: March 27, 2026, 2:51 p.m.