Triple

T15538803
Position Surface form Disambiguated ID Type / Status
Subject Vogtlandkreis E370419 entity
Predicate contains P35 FINISHED
Object Klingenthal E314130 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: Klingenthal | Statement: [Vogtlandkreis, contains, Klingenthal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klingenthal
Context triple: [Vogtlandkreis, contains, Klingenthal]
  • A. Klingenthal chosen
    Klingenthal is a small town in the Vogtland region of Saxony, Germany, known for its long tradition of musical instrument making, especially accordions and brass instruments.
  • B. Mittenwald
    Mittenwald is a picturesque Bavarian town renowned for its traditional violin-making heritage and scenic setting in the German Alps near the Austrian border.
  • C. Seiffen
    Seiffen is a village in Germany’s Ore Mountains renowned for its traditional wooden toy-making and iconic Christmas decorations.
  • D. Schwandorf
    Schwandorf is a town in the Upper Palatinate region of Bavaria, Germany, known as a local administrative and commercial center on the Naab River.
  • E. Schmölln
    Schmölln is a small town in the German state of Thuringia, known for its historic center and role as a local economic and cultural hub.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04430b5188190a555a3cd4fb0c61c completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0319f248190a37c9afa09c32428 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:07 a.m.