Triple
T29938170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GeForce 200 Series |
E760424
|
entity |
| Predicate | flagshipModel |
P9819
|
FINISHED |
| Object | GeForce GTX 280 |
—
|
NE NERFINISHED |
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: GeForce GTX 280 | Statement: [GeForce 200 Series, flagshipModel, GeForce GTX 280]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipModel Context triple: [GeForce 200 Series, flagshipModel, GeForce GTX 280]
-
A.
flagshipType
Indicates that one entity is the primary or most important representative (flagship) of a particular type, category, or group defined by the other entity.
-
B.
flagshipFor
chosen
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
-
C.
flagshipAt
Indicates that a particular entity serves as the primary or leading representative (flagship) of something at or for a specified location, organization, or context.
-
D.
firstFlagshipModel
Indicates that the subject is the earliest or initial flagship model associated with the object, typically marking the first leading or premier product in a series or lineup.
-
E.
flagshipShowOf
Indicates that one show serves as the primary, most prominent, or representative program associated with a particular entity (such as a network, brand, or organization).
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f677d7ab2c8190a26f161c559ed05b |
completed | May 2, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 6:21 p.m.