Triple

T16984211
Position Surface form Disambiguated ID Type / Status
Subject Niederschönhausen E412020 entity
Predicate hasNeighbouringDistrict P17964 FINISHED
Object Gesundbrunnen E353647 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: Gesundbrunnen | Statement: [Niederschönhausen, hasNeighbouringDistrict, Gesundbrunnen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gesundbrunnen
Context triple: [Niederschönhausen, hasNeighbouringDistrict, Gesundbrunnen]
  • A. Gesundbrunnen chosen
    Gesundbrunnen is a locality in Berlin, Germany, known for its dense urban character, diverse population, and major transport hub around the Gesundbrunnen station.
  • B. Königsbrunn
    Königsbrunn is a town in Bavaria, Germany, located just south of Augsburg and known as a residential and commercial suburb of the city.
  • C. Friedrichsbad
    Friedrichsbad is a historic 19th-century Roman-Irish bathhouse in Baden-Baden, Germany, renowned for its ornate architecture and traditional thermal bathing rituals.
  • D. Heilbad Heiligenstadt
    Heilbad Heiligenstadt is a spa town in central Germany known for its therapeutic baths and role as an administrative and cultural center of the Eichsfeld region.
  • E. Beuthen
    Beuthen is the historical German name for the city of Bytom in southern Poland’s Upper Silesia region.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18a0bf881908c449f499eb86495 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc0f13c88190b55da5be40a0a476 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.