Triple
T28406572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INT 10h video services |
E719543
|
entity |
| Predicate | functionGroup |
P120756
|
FINISHED |
| Object | set video mode |
—
|
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: set video mode | Statement: [INT 10h video services, functionGroup, set video mode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionGroup Context triple: [INT 10h video services, functionGroup, set video mode]
-
A.
groupFunction
Indicates that an entity serves a specific role, purpose, or function within a group or collective context.
-
B.
featuresGroup
Indicates that an entity includes or is associated with a specific group as one of its features or components.
-
C.
formedGroup
Indicates that multiple entities have come together to create or establish a group or collective unit.
-
D.
functionCategory
chosen
Indicates that one function is classified as belonging to a particular functional category or type.
-
E.
groupInFCI
Indicates that an entity is a member of, or belongs to, a specific group within the FCI context.
- 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_69eff6f0f37c8190b37bc6fab08a9449 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 1:24 a.m.