Triple

T15619699
Position Surface form Disambiguated ID Type / Status
Subject Freising E375515 entity
Predicate twinnedWith P1072 FINISHED
Object Waidhofen an der Ybbs E667255 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: Waidhofen an der Ybbs | Statement: [Freising, twinnedWith, Waidhofen an der Ybbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waidhofen an der Ybbs
Context triple: [Freising, twinnedWith, Waidhofen an der Ybbs]
  • A. Waidhofen an der Ybbs chosen
    Waidhofen an der Ybbs is a historic small town in Lower Austria known for its picturesque setting on the Ybbs River, medieval architecture, and surrounding Alpine foothills.
  • B. Gumpoldskirchen
    Gumpoldskirchen is a historic wine-growing town in Lower Austria, renowned for its traditional vineyards and picturesque setting near Vienna.
  • C. Sankt Veit an der Glan
    Sankt Veit an der Glan is a historic town in the Austrian state of Carinthia, known for its medieval architecture and role as a former ducal residence.
  • D. Schärding
    Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
  • E. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff908b1d6c819086441305b55f81fb completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:13 a.m.