Triple

T1945382
Position Surface form Disambiguated ID Type / Status
Subject William Farel E42044 entity
Predicate roleInGeneva P8234 FINISHED
Object helped introduce Protestantism to Geneva 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: helped introduce Protestantism to Geneva | Statement: [William Farel, roleInGeneva, helped introduce Protestantism to Geneva]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInGeneva
Context triple: [William Farel, roleInGeneva, helped introduce Protestantism to Geneva]
  • A. roleInBordeaux
    Indicates that an entity holds or has held a specific role, function, or position within the context of Bordeaux.
  • B. roleInBerlinOperation
    Indicates that one entity participated in the Berlin operation with a specific role or function in relation to another entity or the operation itself.
  • C. hasCityRole chosen
    Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
  • D. roleInLasVegas
    Indicates that an entity holds or held a specific role, position, or function within the context of Las Vegas (such as in its government, organizations, events, or productions).
  • E. roleInTSEliotLife
    Indicates the specific role, involvement, or significance an entity had in T. S. Eliot’s life.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb32ebae881908f7541301f0198ae completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abaff25a588190bb4cbc8df9fc6d64 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.