Triple

T3360379
Position Surface form Disambiguated ID Type / Status
Subject Bourbon Restoration E70705 entity
Predicate hasOppositionMovement P34546 FINISHED
Object liberal opposition 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: liberal opposition | Statement: [Bourbon Restoration, hasOppositionMovement, liberal opposition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOppositionMovement
Context triple: [Bourbon Restoration, hasOppositionMovement, liberal opposition]
  • A. oppositionMovement chosen
    Indicates a relationship where a group or entity actively resists, challenges, or seeks to change an existing authority, policy, regime, or dominant force.
  • B. hasMainOpposition
    Indicates that one entity serves as the primary opposing force, rival, or counterparty to another entity.
  • C. hasOppositionParties
    Indicates that an entity (typically a government or ruling body) has one or more political parties that formally oppose or challenge its policies or authority.
  • D. oppositionStatus
    Indicates that one entity’s stance, condition, or role is characterized by being against, resisting, or in conflict with another entity, proposal, or situation.
  • E. emergedInOppositionTo
    Indicates that one entity came into existence or gained prominence specifically as a reaction or counter-movement against another entity.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb267ec1081909a4e3e227d5bad01 completed March 8, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69ada4317e288190ab7d0f66e9dba65f completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:13 p.m.