Triple

T22785152
Position Surface form Disambiguated ID Type / Status
Subject Bussy-Saint-Georges E563942 entity
Predicate hasTwinTown P919 FINISHED
Object Bruck an der Leitha 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: Bruck an der Leitha | Statement: [Bussy-Saint-Georges, hasTwinTown, Bruck an der Leitha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruck an der Leitha
Context triple: [Bussy-Saint-Georges, hasTwinTown, Bruck an der Leitha]
  • A. Bruck an der Leitha chosen
    Bruck an der Leitha is a historic town in eastern Austria near the Hungarian border, known for its wine production and strategic location along the Leitha River.
  • B. Bruck an der Mur
    Bruck an der Mur is a historic town in eastern Austria known for its medieval architecture and location at the confluence of the Mur and Mürz rivers.
  • C. Bruck
    Bruck is a district of the Bavarian city of Erlangen in Germany, known for its residential areas and proximity to local industry and research institutions.
  • D. Vöcklabruck
    Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
  • E. Traunkirchen
    Traunkirchen is a picturesque lakeside village in Upper Austria, known for its scenic setting on Lake Traunsee and historic pilgrimage church.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c30b4dc8190a5e23f4ce7feb300 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.