Triple

T13607277
Position Surface form Disambiguated ID Type / Status
Subject Libération E325096 entity
Predicate originalPoliticalOrientation P7253 FINISHED
Object far-left 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: far-left | Statement: [Libération, originalPoliticalOrientation, far-left]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalPoliticalOrientation
Context triple: [Libération, originalPoliticalOrientation, far-left]
  • A. politicalTendency
    Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
  • B. traditionalPoliticalAlignment
    Indicates how closely an entity’s political views or affiliations align with established, historically dominant, or customary political positions within a given context.
  • C. politicalSide
    Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
  • D. politicalBase
    Indicates the primary group, region, or constituency that provides core political support or power for an individual or organization.
  • E. politicalSpectrumPosition chosen
    Indicates the relative ideological placement of an entity along a political spectrum (e.g., left–right, liberal–conservative).
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae1b3ee481909bd43ded6227a3e5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:50 p.m.