Triple

T46666
Position Surface form Disambiguated ID Type / Status
Subject Peterloo Massacre E914 entity
Predicate hasLongTermImpact P812 FINISHED
Object strengthened campaign for parliamentary reform 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: strengthened campaign for parliamentary reform | Statement: [Peterloo Massacre, hasLongTermImpact, strengthened campaign for parliamentary reform]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLongTermImpact
Context triple: [Peterloo Massacre, hasLongTermImpact, strengthened campaign for parliamentary reform]
  • A. hasConsequence chosen
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • B. hasCulturalImpact
    Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
  • C. civilianImpact
    Indicates the extent to which an action, event, or situation affects civilians, especially in terms of harm, disruption, or other consequences.
  • D. influenced
    Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
  • E. hasPrimaryGoal
    Indicates that an entity’s main or most important objective is the specified goal.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24b1bf2c081908f20e13939b713ff completed Feb. 28, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69a24abd07508190a83ffba5368c1c79 completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.