Triple

T18127949
Position Surface form Disambiguated ID Type / Status
Subject Weißenburg-Gunzenhausen district E433929 entity
Predicate bordersDistrict P224 FINISHED
Object Eichstätt district NE NERFINISHED

How this triple was built (3 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: Eichstätt district | Statement: [Weißenburg-Gunzenhausen district, bordersDistrict, Eichstätt district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eichstätt district
Context triple: [Weißenburg-Gunzenhausen district, bordersDistrict, Eichstätt district]
  • A. Rosenheim district
    Rosenheim district is a rural administrative district in Upper Bavaria, Germany, known for its picturesque Alpine foothills, historic towns, and proximity to the Chiemsee lake.
  • B. Traunstein district
    Traunstein district is a rural administrative district in southeastern Bavaria, Germany, known for its Alpine landscapes, lakes such as Chiemsee, and proximity to the Austrian border.
  • C. Freising district
    Freising district is a rural administrative district in Upper Bavaria, Germany, known for encompassing Munich Airport and a mix of historic towns and agricultural landscapes.
  • D. Altötting district
    Altötting district is an administrative district in southeastern Bavaria, Germany, known for its historic towns and religious pilgrimage sites.
  • E. Donau-Ries district
    Donau-Ries district is a rural administrative district in the Bavarian region of Swabia in southern Germany, known for its historic towns and scenic Danube and Ries landscapes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eichstätt district
Target entity description: Eichstätt district is a rural administrative district in the Bavarian region of Germany, known for its historic town of Eichstätt and location within the Altmühl Valley Nature Park.
  • A. Rosenheim district
    Rosenheim district is a rural administrative district in Upper Bavaria, Germany, known for its picturesque Alpine foothills, historic towns, and proximity to the Chiemsee lake.
  • B. Traunstein district
    Traunstein district is a rural administrative district in southeastern Bavaria, Germany, known for its Alpine landscapes, lakes such as Chiemsee, and proximity to the Austrian border.
  • C. Freising district
    Freising district is a rural administrative district in Upper Bavaria, Germany, known for encompassing Munich Airport and a mix of historic towns and agricultural landscapes.
  • D. Altötting district
    Altötting district is an administrative district in southeastern Bavaria, Germany, known for its historic towns and religious pilgrimage sites.
  • E. Donau-Ries district
    Donau-Ries district is a rural administrative district in the Bavarian region of Swabia in southern Germany, known for its historic towns and scenic Danube and Ries landscapes.
  • F. None of above. chosen

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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddef4cd88190b16ef0d6ed3968c6 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.