Triple

T17999366
Position Surface form Disambiguated ID Type / Status
Subject Lemgo E430583 entity
Predicate hasSubdivision P747 FINISHED
Object Hörstmar
Hörstmar is a district of the German town of Lemgo in North Rhine-Westphalia.
E1324424 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: Hörstmar | Statement: [Lemgo, hasSubdivision, Hörstmar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hörstmar
Context triple: [Lemgo, hasSubdivision, Hörstmar]
  • A. Eberhardzell
    Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
  • B. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • C. Pleiskirchen
    Pleiskirchen is a small municipality in Bavaria, Germany, known as the birthplace of German Catholic priest and musician Georg Ratzinger, brother of Pope Benedict XVI.
  • D. Steinlach
    Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
  • E. Reichstett
    Reichstett is a small commune in northeastern France, situated near Strasbourg in the Grand Est region.
  • 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: Hörstmar
Triple: [Lemgo, hasSubdivision, Hörstmar]
Generated description
Hörstmar is a district of the German town of Lemgo in North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hörstmar
Target entity description: Hörstmar is a district of the German town of Lemgo in North Rhine-Westphalia.
  • A. Eberhardzell
    Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
  • B. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • C. Pleiskirchen
    Pleiskirchen is a small municipality in Bavaria, Germany, known as the birthplace of German Catholic priest and musician Georg Ratzinger, brother of Pope Benedict XVI.
  • D. Steinlach
    Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
  • E. Reichstett
    Reichstett is a small commune in northeastern France, situated near Strasbourg in the Grand Est region.
  • 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_6a03f08dfb308190a0468a90f1a10c44 completed May 13, 2026, 3:31 a.m.
NEDg Description generation batch_6a0403424a5c81909b7e63d0b06be27b completed May 13, 2026, 4:51 a.m.
NED2 Entity disambiguation (via description) batch_6a04037c4748819095d91a1b8e7a5e6a completed May 13, 2026, 4:52 a.m.
Created at: April 10, 2026, 10:23 a.m.