Triple
T30404931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RZ microprocessors |
E773452
|
entity |
| Predicate | hasSeriesFocus |
P191116
|
FINISHED |
| Object | RZ/A series focuses on HMI and graphics |
—
|
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: RZ/A series focuses on HMI and graphics | Statement: [RZ microprocessors, hasSeriesFocus, RZ/A series focuses on HMI and graphics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeriesFocus Context triple: [RZ microprocessors, hasSeriesFocus, RZ/A series focuses on HMI and graphics]
-
A.
focusOfSeries
chosen
Indicates that something is the primary subject or central theme around which a series is organized.
-
B.
hasSeriesContext
Indicates that something is associated with, or occurs within, the broader context of a particular series or sequence.
-
C.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
D.
hasEnsembleFocus
Indicates that something is primarily concerned with, centered on, or designed for an ensemble rather than individual elements.
-
E.
hasSeriesElement
Indicates that something is a member or component within an ordered series associated with another entity.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fea1f5d8c481908dc3351dc9ecef7f |
completed | May 9, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69fea06b6fe0819095bf4c1bc9809927 |
completed | May 9, 2026, 2:48 a.m. |
Created at: April 29, 2026, 8:03 p.m.