Triple

T28100080
Position Surface form Disambiguated ID Type / Status
Subject Congrès de Tours de la SFIO E710205 entity
Predicate politicalSpectrumImpact P1784 FINISHED
Object fragmentation of the French 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: fragmentation of the French left | Statement: [Congrès de Tours de la SFIO, politicalSpectrumImpact, fragmentation of the French left]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalSpectrumImpact
Context triple: [Congrès de Tours de la SFIO, politicalSpectrumImpact, fragmentation of the French left]
  • A. politicalSpectrumCoverage
    Indicates the range and diversity of political viewpoints or positions that are represented or addressed within a given context.
  • B. politicalSpectrumPosition
    Indicates the relative ideological placement of an entity along a political spectrum (e.g., left–right, liberal–conservative).
  • C. pollInfluence
    Indicates that one entity affects or shapes the outcome, results, or responses of a poll involving another entity.
  • D. politicalPowerInfluencedBy
    Indicates that the extent or nature of an entity’s political power is shaped, affected, or determined by another entity or factor.
  • E. politicalRepercussion chosen
    Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
  • 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_69ef9b70fd108190a875953b2e50ca91 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f7465687bc8190a9da44d62b634ed7 completed May 3, 2026, 12:57 p.m.
PD Predicate disambiguation batch_69f743f4ceb08190a21fe7f4a99b166b completed May 3, 2026, 12:47 p.m.
Created at: April 27, 2026, 9:04 p.m.