Triple

T35886908
Position Surface form Disambiguated ID Type / Status
Subject Citroën ID E1037672 entity
Predicate powerAssistance P191609 FINISHED
Object reduced hydraulic assistance compared to Citroën DS 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: reduced hydraulic assistance compared to Citroën DS | Statement: [Citroën ID, powerAssistance, reduced hydraulic assistance compared to Citroën DS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powerAssistance
Context triple: [Citroën ID, powerAssistance, reduced hydraulic assistance compared to Citroën DS]
  • A. powering
    Indicates that one entity supplies energy or power that enables another entity to operate or function.
  • B. powerBy
    Indicates that one entity operates, functions, or is made possible through the energy, resources, or enabling capabilities provided by another entity.
  • C. usesPowerFor
    Indicates that one entity applies or exploits a particular power, energy, or capability for a specific purpose or activity.
  • D. powerPack
    Indicates that one entity serves as a power pack or portable power source for another entity.
  • E. enablingPowerFor
    Indicates that one entity provides the capability or authority that allows another entity to perform a specific function, action, or role.
  • F. None of above. chosen

Provenance (4 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_69f76e1f4d748190bb55594d8441d70e completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fce28d6c3081908bf76f5db63ecf68 completed May 7, 2026, 7:05 p.m.
PD Predicate disambiguation batch_69fce12d2f08819082134b5eb3db6a24 completed May 7, 2026, 6:59 p.m.
PDg Predicate description generation batch_69fce28a74508190aab36551094e8226 completed May 7, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:06 p.m.