Triple

T17420758
Position Surface form Disambiguated ID Type / Status
Subject Kamp Abbey E423606 entity
Predicate hasGermanName P1435 FINISHED
Object Kloster Kamp 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: Kloster Kamp | Statement: [Kamp Abbey, hasGermanName, Kloster Kamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kloster Kamp
Context triple: [Kamp Abbey, hasGermanName, Kloster Kamp]
  • A. Kloster Kamp chosen
    Kloster Kamp is a historic former Cistercian monastery complex in Kamp-Lintfort, Germany, known for its baroque terraced gardens and role in regional religious and military history.
  • B. Kloster Banz
    Kloster Banz is a former Benedictine monastery in Bavaria, Germany, now used as a conference and educational center and known for its impressive Baroque architecture overlooking the Main valley.
  • C. Kreuzherrnkloster
    Kreuzherrnkloster is a former monastery complex in the Bavarian town of Memmingen, notable for its historic religious architecture and cultural significance.
  • D. Kloster
    Kloster is a village and former monastic site on the Baltic Sea island of Hiddensee in Germany, known for its scenic coastal setting and cultural heritage.
  • E. Rühn Abbey
    Rühn Abbey is a former monastic complex in northern Germany, historically significant as a religious institution and noble burial site.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e442372954819085f332efc7067ae9 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.