Triple
T21627552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZX Spectrum |
E533740
|
entity |
| Predicate | hasEmulatorsOn |
P31906
|
FINISHED |
| Object | modern PCs |
—
|
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: modern PCs | Statement: [ZX Spectrum, hasEmulatorsOn, modern PCs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmulatorsOn Context triple: [ZX Spectrum, hasEmulatorsOn, modern PCs]
-
A.
hasSimulator
chosen
Indicates that one entity provides or is associated with a simulator used to model, emulate, or test the behavior of another entity.
-
B.
hasHardwareCompatibilityWith
Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
-
C.
hasHardware
Indicates that one entity possesses, includes, or is equipped with specific hardware components or devices.
-
D.
hasVirtualMachine
Indicates that one entity possesses, contains, or is associated with a virtual machine instance.
-
E.
hasNumberOfPlatforms
Indicates the relationship that specifies how many platforms are associated with a given entity.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52141e1c8190a861f4bc7cfcb490 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:34 p.m.