Triple

T11691177
Position Surface form Disambiguated ID Type / Status
Subject Moor of Freising E277869 entity
Predicate associatedWith P37 FINISHED
Object city of Freising E375515 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: city of Freising | Statement: [Moor of Freising, associatedWith, city of Freising]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Freising
Context triple: [Moor of Freising, associatedWith, city of Freising]
  • A. Freising chosen
    Freising is a historic Bavarian town near Munich, known for its cathedral hill and one of the world’s oldest operating breweries at Weihenstephan.
  • B. district of Freising
    The district of Freising is an administrative district in the German state of Bavaria, known for its historic town of Freising and proximity to Munich and Munich Airport.
  • C. Bishopric of Freising
    The Bishopric of Freising was a historic Roman Catholic ecclesiastical principality in Bavaria that later formed the core of the modern Archdiocese of Munich and Freising.
  • D. Landshut
    Landshut is a historic Bavarian city in southeastern Germany known for its well-preserved medieval architecture and the landmark Trausnitz Castle.
  • E. Kaufbeuren
    Kaufbeuren is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and traditional Swabian culture.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47a3ddc819098e208611148d15b completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1451b4708190be9aa0439aface7a completed April 27, 2026, 7:46 a.m.
Created at: April 8, 2026, 9:40 p.m.