Triple

T20571750
Position Surface form Disambiguated ID Type / Status
Subject Imperial Abbey of Essen E505114 entity
Predicate mainBuilding P105 FINISHED
Object Essen Minster NE NERFINISHED

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: Essen Minster | Statement: [Imperial Abbey of Essen, mainBuilding, Essen Minster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Essen Minster
Context triple: [Imperial Abbey of Essen, mainBuilding, Essen Minster]
  • A. Essen Minster chosen
    Essen Minster is a historic Roman Catholic church in Essen, Germany, renowned for its medieval architecture and significant religious art treasures.
  • B. Bonn Minster
    Bonn Minster is a prominent Roman Catholic basilica and one of the oldest churches in Germany, renowned as a landmark of the city of Bonn.
  • C. Münster Cathedral
    Münster Cathedral is a historic Roman Catholic cathedral in Münster, Germany, renowned as the city’s principal church and a prominent example of medieval ecclesiastical architecture.
  • D. Osnabrück Cathedral
    Osnabrück Cathedral is a historic Roman Catholic church and prominent architectural landmark in the German city of Osnabrück.
  • E. Xanten Cathedral
    Xanten Cathedral is a prominent Gothic-style Roman Catholic church in Xanten, Germany, renowned for its impressive architecture and historical significance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a905b1288190bbad9aa14362bb97 completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:39 a.m.