Triple

T23452933
Position Surface form Disambiguated ID Type / Status
Subject Weinheim E567834 entity
Predicate hasNickname P39 FINISHED
Object Zwei-Burgen-Stadt 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: Zwei-Burgen-Stadt | Statement: [Weinheim, hasNickname, Zwei-Burgen-Stadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zwei-Burgen-Stadt
Context triple: [Weinheim, hasNickname, Zwei-Burgen-Stadt]
  • A. Zwei-Burgen-Stadt chosen
    Zwei-Burgen-Stadt is the nickname of Weinheim, a historic town in southwestern Germany known for its two castles overlooking the city.
  • B. Burgkunstadt
    Burgkunstadt is a small Bavarian town in northern Germany known for its historic center and location in the Upper Franconia region.
  • C. Artlenburg
    Artlenburg is a small municipality in northern Germany, situated on the Elbe River in the state of Lower Saxony.
  • D. Neue Burg
    Neue Burg is a wing of Vienna’s Hofburg Palace complex, built in the late 19th and early 20th centuries and now housing several museums and collections of the Austrian National Library.
  • E. Arzdorf
    Arzdorf is a village and district of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a694f19081909117bc9b10ca8a83 completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:52 p.m.