Triple

T30951666
Position Surface form Disambiguated ID Type / Status
Subject CCS2 E788561 entity
Predicate hasConnectorGender P51173 FINISHED
Object vehicle inlet on car side 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: vehicle inlet on car side | Statement: [CCS2, hasConnectorGender, vehicle inlet on car side]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConnectorGender
Context triple: [CCS2, hasConnectorGender, vehicle inlet on car side]
  • A. connectorType
    Indicates the specific kind or category of connection interface that links two entities.
  • B. connectorSize
    Indicates the size or dimensional specification of a connector in the relationship.
  • C. plugGender chosen
    Indicates that one entity’s connector has a specified gender (e.g., male, female, neutral) in relation to another connector or interface.
  • D. connectorTypeDesignation
    Indicates the specific type or classification assigned to a connector within a connection or interface relationship.
  • E. hasConnector
    Indicates that one entity is linked or joined to another entity through a connector or connecting element.
  • 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_69f224c28c1881908c33b45d689f1724 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a01b130f6808190b86442fb16930e6e completed May 11, 2026, 10:36 a.m.
PD Predicate disambiguation batch_6a01b023157881909a802e06eced3e2f completed May 11, 2026, 10:32 a.m.
Created at: April 29, 2026, 8:53 p.m.