Triple
T6222954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurzweil reading machine for the blind |
E139158
|
entity |
| Predicate | primaryInteractionMode |
P1302
|
FINISHED |
| Object | audio |
—
|
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: audio | Statement: [Kurzweil reading machine for the blind, primaryInteractionMode, audio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryInteractionMode Context triple: [Kurzweil reading machine for the blind, primaryInteractionMode, audio]
-
A.
primaryMode
chosen
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
B.
interactionMechanism
Indicates the process or means by which one entity affects, influences, or interacts with another.
-
C.
primaryInterface
Indicates that one entity serves as the main or default interface through which another entity is accessed or interacted with.
-
D.
touchscreenType
Indicates the specific kind or technology of touchscreen associated with an entity.
-
E.
supportsUserInteraction
Indicates that an entity enables or facilitates direct interaction with a user, such as receiving input or providing responsive feedback.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062c06c7881909999ba44aa4a23f9 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:22 p.m.