Triple

T19869883
Position Surface form Disambiguated ID Type / Status
Subject Triberg Town Hall E477484 entity
Predicate locatedIn P40 FINISHED
Object Triberg im Schwarzwald 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: Triberg im Schwarzwald | Statement: [Triberg Town Hall, locatedIn, Triberg im Schwarzwald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Triberg im Schwarzwald
Context triple: [Triberg Town Hall, locatedIn, Triberg im Schwarzwald]
  • A. Pfinztal
    Pfinztal is a municipality in the Karlsruhe district of Baden-Württemberg, Germany, known for hosting research institutions such as the Fraunhofer Institute for Chemical Technology.
  • B. Hohentengen am Hochrhein
    Hohentengen am Hochrhein is a municipality in southwestern Germany located on the Upper Rhine near the Swiss border.
  • C. Triberg chosen
    Triberg is a picturesque German town in the Black Forest, renowned for its towering waterfalls and traditional cuckoo clocks.
  • D. Wiesloch
    Wiesloch is a town in the Rhine-Neckar district of Baden-Württemberg, Germany, known for its historical center and role as a regional commercial hub.
  • E. Tannheim
    Tannheim is a small municipality in the district of Biberach in the German state of Baden-Württemberg, known for its rural character and Swabian cultural heritage.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658a2cc8481908d134b0b5cf79d06 completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.