Triple
T2615995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia Eseries |
E58888
|
entity |
| Predicate | designEmphasis |
P17414
|
FINISHED |
| Object | hardware QWERTY keyboards |
—
|
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: hardware QWERTY keyboards | Statement: [Nokia Eseries, designEmphasis, hardware QWERTY keyboards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designEmphasis Context triple: [Nokia Eseries, designEmphasis, hardware QWERTY keyboards]
-
A.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
-
B.
hasEmphasis
chosen
Indicates that one element is given special stress, importance, or prominence relative to others.
-
C.
designLead
Indicates that one entity serves as the primary designer or person in charge of leading the design work for another entity or project.
-
D.
designTrend
Indicates a prevailing or emerging stylistic direction or pattern that influences how something is designed over a period of time.
-
E.
designIntent
Indicates the underlying purpose, rationale, or functional goal that guided the creation or configuration of something.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd89325308190985598373eb0d296 |
completed | March 7, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69abd80cd7fc81909e9696db2919129f |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.