Triple

T17999365
Position Surface form Disambiguated ID Type / Status
Subject Lemgo E430583 entity
Predicate hasSubdivision P747 FINISHED
Object Entrup
Entrup is a district of the German town of Lemgo in the state of North Rhine-Westphalia.
E1304784 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: Entrup | Statement: [Lemgo, hasSubdivision, Entrup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Entrup
Context triple: [Lemgo, hasSubdivision, Entrup]
  • A. Wustermark
    Wustermark is a municipality in the Havelland district of Brandenburg, Germany, located west of Berlin and known for its mix of rural character and growing residential and commercial areas.
  • B. Lonstein
    Lonstein is a surname of likely Ashkenazi Jewish origin borne by various individuals and families.
  • C. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Stollberg
    Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
  • E. Polheim
    Polheim was the temporary base camp established by Roald Amundsen’s team at the geographic South Pole during their pioneering 1911 Antarctic expedition.
  • 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: Entrup
Triple: [Lemgo, hasSubdivision, Entrup]
Generated description
Entrup is a district of the German town of Lemgo in the state of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Entrup
Target entity description: Entrup is a district of the German town of Lemgo in the state of North Rhine-Westphalia.
  • A. Wustermark
    Wustermark is a municipality in the Havelland district of Brandenburg, Germany, located west of Berlin and known for its mix of rural character and growing residential and commercial areas.
  • B. Lonstein
    Lonstein is a surname of likely Ashkenazi Jewish origin borne by various individuals and families.
  • C. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Stollberg
    Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
  • E. Polheim
    Polheim was the temporary base camp established by Roald Amundsen’s team at the geographic South Pole during their pioneering 1911 Antarctic expedition.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e75e908190a6ff6a3ec6069ff5 completed April 19, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a035d7ec324819099a074f6f5066190 completed May 12, 2026, 5:03 p.m.
NEDg Description generation batch_6a0361aa77808190a9fb298cf1b3b785 completed May 12, 2026, 5:21 p.m.
NED2 Entity disambiguation (via description) batch_6a036203e7e8819094e6bbb40b79e533 completed May 12, 2026, 5:23 p.m.
Created at: April 10, 2026, 10:23 a.m.