Triple

T21716977
Position Surface form Disambiguated ID Type / Status
Subject Altstadt (Zürich) E536055 entity
Predicate contains P35 FINISHED
Object Niederdorf 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: Niederdorf | Statement: [Altstadt (Zürich), contains, Niederdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niederdorf
Context triple: [Altstadt (Zürich), contains, Niederdorf]
  • A. Niederdorf chosen
    Niederdorf is a historic, nightlife-rich quarter in Zurich’s Old Town known for its narrow medieval streets, bars, restaurants, and cultural venues.
  • B. Niederdorf
    Niederdorf is a picturesque village in South Tyrol, northern Italy, known for its alpine scenery and role as a gateway to the Dolomites.
  • C. Gneixendorf
    Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
  • D. Nußdorf
    Nußdorf is a wine-growing district and village that forms part of the town of Landau in der Pfalz in the Rhineland-Palatinate region of Germany.
  • E. Nußdorf
    Nußdorf is a historic wine-growing neighborhood and former village in Vienna, Austria, now part of the city’s Döbling district along the Danube.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96ab4c88190b76f4a6b7c855039 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.