Triple

T19620514
Position Surface form Disambiguated ID Type / Status
Subject Scharnitz E470992 entity
Predicate hasSubdivision P747 FINISHED
Object Oberdorf 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: Oberdorf | Statement: [Scharnitz, hasSubdivision, Oberdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberdorf
Context triple: [Scharnitz, hasSubdivision, Oberdorf]
  • A. Oberdorf
    Oberdorf is a historic quarter within Zurich’s Old Town known for its narrow streets, traditional buildings, and lively mix of shops, restaurants, and cultural venues.
  • B. Oberdorf
    Oberdorf is a Swiss municipality situated in the central alpine canton of Nidwalden.
  • C. Oberdorf chosen
    Oberdorf is a locality within the Austrian municipality of Wolfurt in the state of Vorarlberg.
  • D. Oberaudorf
    Oberaudorf is a small Bavarian town in southern Germany near the Austrian border, known for its alpine scenery and ski tourism.
  • E. Oberndorf
    Oberndorf is a district or locality within the town of Kuppenheim in the German state of Baden-Württemberg.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e512d08190a76bf81b3282e0e5 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:43 p.m.