Triple
T36522625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The network is the computer |
E900216
|
entity |
| Predicate | capturesVisionOf |
P185807
|
FINISHED |
| Object | networked resources acting as a single computer |
—
|
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: networked resources acting as a single computer | Statement: [The network is the computer, capturesVisionOf, networked resources acting as a single computer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturesVisionOf Context triple: [The network is the computer, capturesVisionOf, networked resources acting as a single computer]
-
A.
containsVisionOf
Indicates that one entity includes, depicts, or embodies a visual representation or image of another entity.
-
B.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
C.
hasVisionOf
Indicates that one entity perceives, imagines, or foresees another entity or scenario, typically in a mental, prophetic, or visualized form.
-
D.
visionCapability
Indicates that an entity possesses the ability or capacity to see or visually perceive its environment.
-
E.
locationOfVision
Indicates the place or setting where a vision or visual experience occurs or is perceived.
- 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_69f76e5eedb88190a393b8c623f71dd7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.