Triple
T27731115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GE-645 |
E697430
|
entity |
| Predicate | hardwareSupportFor |
P34359
|
FINISHED |
| Object | segmented address space |
—
|
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: segmented address space | Statement: [GE-645, hardwareSupportFor, segmented address space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hardwareSupportFor Context triple: [GE-645, hardwareSupportFor, segmented address space]
-
A.
hasHardwareCompatibilityWith
chosen
Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
-
B.
hasHardware
Indicates that one entity possesses, includes, or is equipped with specific hardware components or devices.
-
C.
supportsHardwareVendor
Indicates that one entity provides assistance, resources, or endorsement to a hardware vendor in fulfilling its products or services.
-
D.
tieneSoporte
Indicates that one entity provides support, backing, or a supporting structure for another entity.
-
E.
checksHardware
Indicates that one entity inspects or verifies the condition, presence, or correctness of another entity’s hardware components.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 3:11 p.m.