Triple

T115779
Position Surface form Disambiguated ID Type / Status
Subject Slavery Abolition Act 1833 E2334 entity
Predicate mainEffect P1634 FINISHED
Object abolition of slavery in most of the British Empire 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: abolition of slavery in most of the British Empire | Statement: [Slavery Abolition Act 1833, mainEffect, abolition of slavery in most of the British Empire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainEffect
Context triple: [Slavery Abolition Act 1833, mainEffect, abolition of slavery in most of the British Empire]
  • A. primaryEffect chosen
    Indicates the main direct outcome or consequence that results from a given cause, action, or condition.
  • B. specialEffectsBy
    Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or entity.
  • C. primaryMode
    Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
  • D. primaryMotif
    Indicates that one entity serves as the main recurring theme or dominant motif associated with another entity.
  • E. secondaryFunction
    Indicates that an entity has an additional, supporting role or purpose beyond its primary function.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a257845c548190bfb49409988d1c57 completed Feb. 28, 2026, 2:48 a.m.
PD Predicate disambiguation batch_69a256456d908190b52c937fe6c4343f completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.