Triple
T28615538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellipse |
E724264
|
entity |
| Predicate | belongsToSubsystem |
P192285
|
FINISHED |
| Object | Windows Graphics Device Interface |
—
|
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: Windows Graphics Device Interface | Statement: [Ellipse, belongsToSubsystem, Windows Graphics Device Interface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToSubsystem Context triple: [Ellipse, belongsToSubsystem, Windows Graphics Device Interface]
-
A.
belongsToSubsector
Indicates that one entity is part of, or classified within, a more specific subsector of a broader sector or industry.
-
B.
belongsToSubfamily
Indicates that one entity is a member of, or classified within, a specific subfamily of another entity.
-
C.
belongsToSubseries
Indicates that one item is part of, or contained within, a more specific subseries of a larger series or collection.
-
D.
belongsToSystemType
Indicates that one entity is classified under, or is a member of, a particular system type.
-
E.
hasSisterSubsystem
Indicates that one subsystem is related to another as a sister subsystem, meaning they share a common parent system or hierarchical level.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
| PDg | Predicate description generation | batch_69fd05b965608190a3666410b9f8e125 |
completed | May 7, 2026, 9:35 p.m. |
Created at: April 28, 2026, 4:31 a.m.