Triple

T29392034
Position Surface form Disambiguated ID Type / Status
Subject SPI E745388 entity
Predicate signalRole_SCLK P4618 FINISHED
Object serial clock from master 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: serial clock from master | Statement: [SPI, signalRole_SCLK, serial clock from master]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: signalRole_SCLK
Context triple: [SPI, signalRole_SCLK, serial clock from master]
  • A. hasClockInput
    Indicates that an entity receives a clock signal from another entity as an input for timing or synchronization purposes.
  • B. signalType chosen
    Indicates the specific kind or category of signal associated with or used by an entity or interaction.
  • C. controlSignals
    Indicates that one entity sends or governs directive signals that determine or influence the behavior or operation of another entity.
  • D. signalProperty
    Indicates that one entity has a specific characteristic, attribute, or feature related to a signal.
  • E. clockRecovery
    Indicates the process or relationship by which a receiver reconstructs or synchronizes its clock signal from an incoming data stream or signal.
  • 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_69f0a79dfabc81908755382ee47791e2 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f66d7765208190b87b1cc6d96a151c completed May 2, 2026, 9:32 p.m.
PD Predicate disambiguation batch_69f66abfdaf08190a55f14c70be6fd4d completed May 2, 2026, 9:21 p.m.
Created at: April 28, 2026, 2:43 p.m.