Triple
T9026960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam460ex |
E216070
|
entity |
| Predicate | hasCoolingRequirement |
P42118
|
FINISHED |
| Object | active or passive CPU cooling |
—
|
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: active or passive CPU cooling | Statement: [Sam460ex, hasCoolingRequirement, active or passive CPU cooling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoolingRequirement Context triple: [Sam460ex, hasCoolingRequirement, active or passive CPU cooling]
-
A.
coolingRequirement
chosen
Indicates that an entity requires or is subject to a specific amount or type of cooling to operate within acceptable conditions.
-
B.
hasCoolingSource
Indicates that one entity provides or serves as a cooling source for another entity.
-
C.
hasCoolingFlow
Indicates that an entity is equipped with or utilizes a system or mechanism to remove heat or maintain a lower temperature through the flow of a cooling medium.
-
D.
hasHeating
Indicates that an entity is equipped with or provides a heating system or heating capability.
-
E.
hasCoolingTowerType
Indicates that an entity is associated with, or equipped with, a specific type or category of cooling tower.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7eb5b881908ace0c3327f06161 |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:07 p.m.