Triple

T2014501
Position Surface form Disambiguated ID Type / Status
Subject Lübeck Katharineum E43763 entity
Predicate laterReligiousAffiliation P45 FINISHED
Object Protestant city school 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: Protestant city school | Statement: [Lübeck Katharineum, laterReligiousAffiliation, Protestant city school]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterReligiousAffiliation
Context triple: [Lübeck Katharineum, laterReligiousAffiliation, Protestant city school]
  • A. religiousAffiliation chosen
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • B. formerReligiousAffiliation
    Indicates that an entity previously adhered to a particular religion or religious denomination but no longer does so.
  • C. laterReligion
    Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
  • D. associatedReligionText
    Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
  • E. officialReligion
    Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b610a88190bc10fd7dda19da08 completed March 7, 2026, 5:33 a.m.
PD Predicate disambiguation batch_69abb7a03a1c81909ad50d56667db2d5 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:37 p.m.