Triple

T21900690
Position Surface form Disambiguated ID Type / Status
Subject Gmünd District E540798 entity
Predicate containsMunicipality P852 FINISHED
Object Haugschlag 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: Haugschlag | Statement: [Gmünd District, containsMunicipality, Haugschlag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haugschlag
Context triple: [Gmünd District, containsMunicipality, Haugschlag]
  • A. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • B. Reideburg
    Reideburg is a district of Halle (Saale) in the German state of Saxony-Anhalt, known as the birthplace of prominent politician Hans-Dietrich Genscher.
  • C. Hauenstein
    Hauenstein is a municipality in the canton of Solothurn in Switzerland, known for its rural setting in the Jura Mountains region.
  • D. Wildenberg
    Wildenberg is a small municipality in the Kelheim district of Lower Bavaria, Germany, known for its rural character and agricultural surroundings.
  • E. Hjorthagen
    Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
  • 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: Haugschlag
Target entity description: Haugschlag is a small municipality in Lower Austria near the Czech border, known for its rural landscape and golf tourism.
  • A. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • B. Reideburg
    Reideburg is a district of Halle (Saale) in the German state of Saxony-Anhalt, known as the birthplace of prominent politician Hans-Dietrich Genscher.
  • C. Hauenstein
    Hauenstein is a municipality in the canton of Solothurn in Switzerland, known for its rural setting in the Jura Mountains region.
  • D. Wildenberg
    Wildenberg is a small municipality in the Kelheim district of Lower Bavaria, Germany, known for its rural character and agricultural surroundings.
  • E. Hjorthagen
    Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fcb18748190a21071c122b7e6d5 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.