Triple

T21765321
Position Surface form Disambiguated ID Type / Status
Subject Schmallenberg E537268 entity
Predicate hasDistrict P459 FINISHED
Object Fleckenberg
Fleckenberg is a village and district of the town of Schmallenberg in the Hochsauerland region of North Rhine-Westphalia, Germany.
 E1503091 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: Fleckenberg | Statement: [Schmallenberg, hasDistrict, Fleckenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fleckenberg
Context triple: [Schmallenberg, hasDistrict, Fleckenberg]
  • A. Faulbach
    Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
  • B. Bodfeld
    Bodfeld was a medieval royal hunting lodge and estate in the Harz region of present-day Germany, historically notable as the place where Holy Roman Emperor Henry III died.
  • C. Enchenberg
    Enchenberg is a small commune in northeastern France, situated in the Moselle department within the historical region of Lorraine.
  • D. Finkenberg
    Finkenberg is a picturesque alpine village in the Zillertal Valley of Tyrol, Austria, known for its access to extensive skiing and hiking areas.
  • E. Waidberg
    Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
  • 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: Fleckenberg
Triple: [Schmallenberg, hasDistrict, Fleckenberg]
Generated description
Fleckenberg is a village and district of the town of Schmallenberg in the Hochsauerland region of North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fleckenberg
Target entity description: Fleckenberg is a village and district of the town of Schmallenberg in the Hochsauerland region of North Rhine-Westphalia, Germany.
  • A. Faulbach
    Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
  • B. Bodfeld
    Bodfeld was a medieval royal hunting lodge and estate in the Harz region of present-day Germany, historically notable as the place where Holy Roman Emperor Henry III died.
  • C. Enchenberg
    Enchenberg is a small commune in northeastern France, situated in the Moselle department within the historical region of Lorraine.
  • D. Finkenberg
    Finkenberg is a picturesque alpine village in the Zillertal Valley of Tyrol, Austria, known for its access to extensive skiing and hiking areas.
  • E. Waidberg
    Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a9a08c8190bc0588ffa0f2da44 completed April 28, 2026, 4:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45d2d6c8819084f47207366689c9 completed May 17, 2026, 10:48 p.m.
NEDg Description generation batch_6a0a464e56708190a3790b4c29f626da completed May 17, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_6a0a46b57f148190b8700ea4e02b836a completed May 17, 2026, 10:52 p.m.
Created at: April 16, 2026, 6:51 p.m.