Triple

T8351116
Position Surface form Disambiguated ID Type / Status
Subject Archdiocese of Munich and Freising E196159 entity
Predicate includesCity P3207 FINISHED
Object 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: Freising | Statement: [Archdiocese of Munich and Freising, includesCity, Freising]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freising
Context triple: [Archdiocese of Munich and Freising, includesCity, 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. Traunstein
    Traunstein is a town in southeastern Bavaria, Germany, known as a regional administrative and cultural center near the Chiemsee and the Alps.
  • C. Kaufbeuren
    Kaufbeuren is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and traditional Swabian culture.
  • D. Füssen
    Füssen is a picturesque Bavarian town in southern Germany, known for its historic old town, proximity to Neuschwanstein Castle, and scenic location near the Alps.
  • E. Eichstätt
    Eichstätt is a historic Bavarian town in southern Germany known for its baroque architecture, Catholic university, and location within the Altmühltal Nature Park.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8019fb308190a3edc744bd473a5b completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d016c8b6f0819084d14fec00aad335 completed April 3, 2026, 7:36 p.m.
Created at: March 30, 2026, 5:59 p.m.