Triple

T21287763
Position Surface form Disambiguated ID Type / Status
Subject Diepholz district E524705 entity
Predicate contains P35 FINISHED
Object Beckeln
Beckeln is a small municipality in Lower Saxony, Germany, known for its rural character and agricultural surroundings.
E1476234 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: Beckeln | Statement: [Diepholz district, contains, Beckeln]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beckeln
Context triple: [Diepholz district, contains, Beckeln]
  • A. Beuel
    Beuel is a district on the right bank of the Rhine in the German city of Bonn, known for its residential areas and local carnival traditions.
  • B. Eichelbaum
    Eichelbaum is a German-language surname borne by various individuals, including figures in law, arts, and public life.
  • C. Wiembeck
    Wiembeck is a district or locality within the town of Lemgo in North Rhine-Westphalia, Germany.
  • D. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • E. Obernbeck
    Obernbeck is a district of the town of Löhne in the Herford district of North Rhine-Westphalia, Germany.
  • 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: Beckeln
Triple: [Diepholz district, contains, Beckeln]
Generated description
Beckeln is a small municipality in Lower Saxony, Germany, known for its rural character and agricultural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beckeln
Target entity description: Beckeln is a small municipality in Lower Saxony, Germany, known for its rural character and agricultural surroundings.
  • A. Beuel
    Beuel is a district on the right bank of the Rhine in the German city of Bonn, known for its residential areas and local carnival traditions.
  • B. Eichelbaum
    Eichelbaum is a German-language surname borne by various individuals, including figures in law, arts, and public life.
  • C. Wiembeck
    Wiembeck is a district or locality within the town of Lemgo in North Rhine-Westphalia, Germany.
  • D. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • E. Obernbeck
    Obernbeck is a district of the town of Löhne in the Herford district of North Rhine-Westphalia, Germany.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d7c57c8190bc4180ea590a62d4 completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099809b3d88190b78ddeae641a7abf completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998f27c6c81908a88a4a831445d57 completed May 17, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_6a09996c8d7c81908cc9874f6e1a3fff completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 4:03 p.m.