Triple

T20243614
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Diocese of Haarlem-Amsterdam E498363 entity
Predicate renamedToEmphasize P26624 FINISHED
Object importance of Amsterdam within the diocese 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: importance of Amsterdam within the diocese | Statement: [Roman Catholic Diocese of Haarlem-Amsterdam, renamedToEmphasize, importance of Amsterdam within the diocese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: renamedToEmphasize
Context triple: [Roman Catholic Diocese of Haarlem-Amsterdam, renamedToEmphasize, importance of Amsterdam within the diocese]
  • A. renamedDueTo
    Indicates that one entity was renamed as a consequence of another specified cause, event, or condition.
  • B. renamedToAvoidConfusionWith
    Indicates that one entity’s name was changed specifically to prevent it from being mistaken for another entity.
  • C. renamedTo
    Indicates that an entity has been given a new name, specifying the target name it was changed to.
  • D. renamedToInclude chosen
    Indicates that an entity has been renamed so that its new name explicitly includes another specified element (such as a term, identifier, or component).
  • E. wasRenamedBackTo
    Indicates that an entity, after having its name changed, was later restored to its previous or original name.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e67170aa248190922fc845d2265ae3 completed April 20, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69e55b1b23f88190bdcbe2f81dd226dd completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:40 p.m.