Triple

T12420571
Position Surface form Disambiguated ID Type / Status
Subject Leverkusen E296756 entity
Predicate hasDistrict P459 FINISHED
Object Steinbüchel
Steinbüchel is a residential district of the German city of Leverkusen in North Rhine-Westphalia.
E983033 NE FINISHED

How this triple was built (4 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: Steinbüchel | Statement: [Leverkusen, hasDistrict, Steinbüchel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steinbüchel
Context triple: [Leverkusen, hasDistrict, Steinbüchel]
  • A. Stechelberg
    Stechelberg is a small Swiss village at the end of the Lauterbrunnen Valley, known for its dramatic alpine scenery and access to hiking and cable cars into the surrounding mountains.
  • B. Kirchweidach
    Kirchweidach is a small Bavarian municipality in southeastern Germany, known for its rural character and location within the district of Altötting.
  • C. Birenbach
    Birenbach is a small municipality in the Göppingen district of the German state of Baden-Württemberg.
  • D. Weidach
    Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • E. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Steinbüchel
Triple: [Leverkusen, hasDistrict, Steinbüchel]
Generated description
Steinbüchel is a residential district of the German city of Leverkusen in North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steinbüchel
Target entity description: Steinbüchel is a residential district of the German city of Leverkusen in North Rhine-Westphalia.
  • A. Stechelberg
    Stechelberg is a small Swiss village at the end of the Lauterbrunnen Valley, known for its dramatic alpine scenery and access to hiking and cable cars into the surrounding mountains.
  • B. Kirchweidach
    Kirchweidach is a small Bavarian municipality in southeastern Germany, known for its rural character and location within the district of Altötting.
  • C. Birenbach
    Birenbach is a small municipality in the Göppingen district of the German state of Baden-Württemberg.
  • D. Weidach
    Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • E. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • F. None of above. chosen

Provenance (5 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6efd748190a5d9396a343e41e1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0265fc81909a6288d11b78c2f9 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6403711bc8190b214d4b06792a538 completed May 2, 2026, 6:19 p.m.
NED2 Entity disambiguation (via description) batch_69f640f543c08190b95b16a8909eebf8 completed May 2, 2026, 6:22 p.m.
Created at: April 8, 2026, 9:55 p.m.