Triple

T2746533
Position Surface form Disambiguated ID Type / Status
Subject Ulm Minster E60881 entity
Predicate localName P657 FINISHED
Object Ulmer Münster E60881 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: Ulmer Münster | Statement: [Ulm Minster, localName, Ulmer Münster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulmer Münster
Context triple: [Ulm Minster, localName, Ulmer Münster]
  • A. Ulm Minster chosen
    Ulm Minster is a famous Gothic church in Ulm, Germany, renowned for having the tallest church steeple in the world.
  • B. Schloss Münster
    Schloss Münster is a baroque palace in Münster, Germany, now primarily used as the main administrative building of the University of Münster.
  • 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. Naumburg Cathedral
    Naumburg Cathedral is a renowned medieval cathedral in Naumburg, Germany, famous for its Romanesque and early Gothic architecture and its celebrated 13th-century donor statues.
  • E. Osnabrück Cathedral
    Osnabrück Cathedral is a historic Roman Catholic church and prominent architectural landmark in the German city of Osnabrück.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ed6bc8190876c1d188b97692b completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd0f3a08190bf33a937ae9749c7 completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:56 p.m.