Triple

T15218258
Position Surface form Disambiguated ID Type / Status
Subject Christian Gotthilf Salzmann E363693 entity
Predicate livedIn P75 FINISHED
Object Schnepfenthal E1143964 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: Schnepfenthal | Statement: [Christian Gotthilf Salzmann, livedIn, Schnepfenthal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schnepfenthal
Context triple: [Christian Gotthilf Salzmann, livedIn, Schnepfenthal]
  • A. Schnepfenthal chosen
    Schnepfenthal is a small district in Waltershausen, Thuringia, Germany, historically known for its progressive educational institutions and association with Enlightenment-era pedagogue Christian Gotthilf Salzmann.
  • B. Heppenbach
    Heppenbach is a village in the municipality of Amel in the German-speaking Community of eastern Belgium.
  • C. Teutschenthal
    Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
  • D. Eifgenbach
    Eifgenbach is a small river in North Rhine-Westphalia, Germany, that flows through the Bergisches Land region before joining the Wupper.
  • E. Pfaffenwinkel
    Pfaffenwinkel is a picturesque region in Upper Bavaria, Germany, renowned for its numerous historic churches, monasteries, and scenic Alpine foothill landscapes.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3159fc81908c05cfbd0bd7e5ac completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:11 a.m.