Triple
T31665897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA GeForce RTX 4080 |
E808123
|
entity |
| Predicate | recommendedPSU |
P173449
|
FINISHED |
| Object | 750 W |
—
|
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: 750 W | Statement: [NVIDIA GeForce RTX 4080, recommendedPSU, 750 W]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recommendedPSU Context triple: [NVIDIA GeForce RTX 4080, recommendedPSU, 750 W]
-
A.
isPSU
Indicates that one entity functions as the power supply unit (PSU) for another entity.
-
B.
publicUniversityType
Indicates that an institution is classified as a public university, typically funded and operated by government or state authorities.
-
C.
numberOfColleges
Indicates the quantity of colleges associated with a given entity.
-
D.
isCampusFor
Indicates that a location serves as the campus associated with a particular institution or organization.
-
E.
collegeCoach
Indicates that one entity serves as a coach for a college-level sports team associated with another entity.
- 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_69f348dbeef4819080b446a7feb6340b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 30, 2026, 10:59 p.m.