Triple

T1056596
Position Surface form Disambiguated ID Type / Status
Subject Joseph Priestley E22808 entity
Predicate causeOfMigration P3057 FINISHED
Object political and religious persecution in England 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: political and religious persecution in England | Statement: [Joseph Priestley, causeOfMigration, political and religious persecution in England]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfMigration
Context triple: [Joseph Priestley, causeOfMigration, political and religious persecution in England]
  • A. reasonForRelocation chosen
    Indicates the underlying cause, motivation, or circumstance that led an entity to move from one location to another.
  • B. causeOfChangeOfDestination
    Indicates that one entity is the reason or trigger for another entity changing its intended destination.
  • C. causeOfExile
    Indicates the reason or circumstance that led to an entity’s exile.
  • D. reasonForChange
    Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
  • E. changeReason
    Indicates the reason or justification for a modification or change made to an entity or its state.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8da80dc8190b79beaf509910725 completed March 1, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69a4b731e25c8190b5ea8466648c2c9a completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.