Triple
T1774587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NuBus |
E38948
|
entity |
| Predicate | supportsLittleEndianSystems |
P11220
|
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: [NuBus, supportsLittleEndianSystems, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLittleEndianSystems Context triple: [NuBus, supportsLittleEndianSystems, true]
-
A.
endianess
Indicates the byte order relationship specifying how multi-byte data is arranged in memory or during transmission (e.g., little-endian vs big-endian).
-
B.
endianness
chosen
Indicates the ordering of bytes used to represent multi-byte data values in memory or storage.
-
C.
supportedSystem
Indicates that one entity provides compatibility, functionality, or operational support for another system.
-
D.
hasNumberSystem
Indicates that an entity possesses or uses a particular system for representing and organizing numbers.
-
E.
isSupportedBy
Indicates that an entity is upheld, sustained, or enabled by another entity, which provides necessary assistance, resources, or justification.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab17e368048190b7b73d156400f772 |
completed | March 6, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69aa61cd4c1c8190a8dff391f5642bfe |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.