Triple

T9463437
Position Surface form Disambiguated ID Type / Status
Subject Kreuzerhöhung E228206 entity
Predicate religion P45 FINISHED
Object Christentum E348 NE 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: Christentum | Statement: [Kreuzerhöhung, religion, Christentum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christentum
Context triple: [Kreuzerhöhung, religion, Christentum]
  • A. Christianity chosen
    Christianity is a monotheistic Abrahamic religion centered on the life, teachings, death, and resurrection of Jesus Christ, emphasizing salvation through faith in him.
  • B. Chishtian
    Chishtian is a prominent city in Pakistan’s Punjab province known as a regional commercial and agricultural hub.
  • C. Christian Church
    The Christian Church is a Protestant Restoration Movement denomination that emphasizes New Testament Christianity, congregational autonomy, and unity among believers.
  • D. Christian
    Christian is a masculine given name of Latin origin, widely used in many European languages and historically borne by numerous notable figures, including royalty and religious leaders.
  • E. Cristiani
    Cristiani is an Italian-origin surname most notably associated with Alfredo Cristiani, a former president of El Salvador.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcec2d88190b93b6e4d881c85c6 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ce37efc81908eee5dd709a574fb completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:53 p.m.