Triple

T37420543
Position Surface form Disambiguated ID Type / Status
Subject French presidential election of 1848 E929837 entity
Predicate mediaSupportForWinner P184039 FINISHED
Object conservative press 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: conservative press | Statement: [French presidential election of 1848, mediaSupportForWinner, conservative press]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mediaSupportForWinner
Context triple: [French presidential election of 1848, mediaSupportForWinner, conservative press]
  • A. mediaSupportFrom chosen
    Indicates that one entity provides media-related backing, coverage, or promotional support to another entity.
  • B. mediaFeature
    Indicates a characteristic, capability, or attribute of a media item that distinguishes how it is presented, functions, or is experienced.
  • C. mediaDependentInterface
    Indicates that one interface or interaction is contingent on, or varies according to, the characteristics or type of the media involved.
  • D. mediaCovered
    Indicates that one entity (such as a media outlet or source) has reported on, featured, or otherwise provided coverage of another entity or event.
  • E. mediaDisplayed
    Indicates that a particular piece of media is shown or presented to an audience or user in a given context.
  • 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_69f76ebf0f288190ba198a78341613b8 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba68077788190b311e027435fcf87 completed May 6, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69fba34c65ac8190b298f0f00d1dcc0e completed May 6, 2026, 8:23 p.m.
Created at: May 3, 2026, 4:16 p.m.