Triple
T7197448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gracemont |
E168650
|
entity |
| Predicate | supportsBigLittleHybrid |
P75684
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Gracemont, supportsBigLittleHybrid, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBigLittleHybrid Context triple: [Gracemont, supportsBigLittleHybrid, yes]
-
A.
supportsDualProcessors
Indicates that an entity is capable of operating with or accommodating two processors simultaneously.
-
B.
hasHardwareCompatibilityWith
Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
-
C.
laterSupportedArchitecture
Indicates that one architecture provides support for another architecture that was introduced or adopted at a later time.
-
D.
supportedArchitect
Indicates that one entity provides architectural backing, endorsement, or assistance to another entity or architectural concept.
-
E.
supportsNestedVirtualization
Indicates that one computing environment or platform enables and correctly handles running virtual machines inside other virtual machines.
- 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.