Triple
T26377006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Synaptics |
E660925
|
entity |
| Predicate | hasRAndDCapability |
P182
|
FINISHED |
| Object | human–machine interface design |
—
|
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: human–machine interface design | Statement: [Synaptics, hasRAndDCapability, human–machine interface design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRAndDCapability Context triple: [Synaptics, hasRAndDCapability, human–machine interface design]
-
A.
hasCap
Indicates that an entity possesses or is equipped with a cap or top covering.
-
B.
hasCapType
Indicates that an entity possesses or is characterized by a specific type of cap or cap-like feature.
-
C.
requiresCapability
Indicates that one entity depends on another entity possessing a specific capability in order for an action, function, or condition to be fulfilled.
-
D.
hasTestCapability
Indicates that an entity possesses the ability or functionality to perform a specified test or set of tests.
-
E.
hasFeature
chosen
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
- 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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 26, 2026, 11:02 p.m.