Triple

T19325468
Position Surface form Disambiguated ID Type / Status
Subject Syrgenstein E483334 entity
Predicate hasSubdivision P747 FINISHED
Object Landshausen NE NERFINISHED

How this triple was built (3 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: Landshausen | Statement: [Syrgenstein, hasSubdivision, Landshausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landshausen
Context triple: [Syrgenstein, hasSubdivision, Landshausen]
  • A. Leutershausen
    Leutershausen is a historic small town in Bavaria, Germany, known for its well-preserved medieval character and traditional Franconian architecture.
  • B. Helmarshausen
    Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
  • C. Altshausen
    Altshausen is a small historic town in the German state of Baden-Württemberg, known for its former ducal residence and picturesque setting in Upper Swabia.
  • D. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • E. Ziemetshausen
    Ziemetshausen is a small municipality in the Swabian region of Bavaria in southern Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Landshausen
Target entity description: Landshausen is a village-level subdivision of the municipality of Syrgenstein in the Bavarian district of Dillingen, Germany.
  • A. Leutershausen
    Leutershausen is a historic small town in Bavaria, Germany, known for its well-preserved medieval character and traditional Franconian architecture.
  • B. Helmarshausen
    Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
  • C. Altshausen
    Altshausen is a small historic town in the German state of Baden-Württemberg, known for its former ducal residence and picturesque setting in Upper Swabia.
  • D. Balzhausen
    Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • E. Ziemetshausen
    Ziemetshausen is a small municipality in the Swabian region of Bavaria in southern Germany.
  • F. None of above. chosen

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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8bb28c81909b3a3bbb96b69b4f completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:33 p.m.