Triple

T3800161
Position Surface form Disambiguated ID Type / Status
Subject Mini DisplayPort E91667 entity
Predicate signalDirection P30196 FINISHED
Object unidirectional from source to sink 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: unidirectional from source to sink | Statement: [Mini DisplayPort, signalDirection, unidirectional from source to sink]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: signalDirection
Context triple: [Mini DisplayPort, signalDirection, unidirectional from source to sink]
  • A. circuitDirection
    Indicates the orientation or flow direction of a circuit or circuit path relative to its components or layout.
  • B. signalPolarity
    Indicates the directional orientation or sign (positive or negative) of a signal relative to a defined reference.
  • C. hasDirectionType chosen
    Indicates that something possesses or is associated with a specific type or category of direction.
  • D. containsDirectionOf
    Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
  • E. directionalDesignation
    Indicates a relationship where one entity is assigned or labeled with a specific directional orientation relative to another entity or reference frame.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee8db8a288190afd1e3b9dcf02e97 completed March 9, 2026, 3:35 p.m.
PD Predicate disambiguation batch_69aee7461abc8190945716f4b93e1a18 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:15 p.m.