Triple

T5490122
Position Surface form Disambiguated ID Type / Status
Subject Osnabrück district E123679 entity
Predicate contains P35 FINISHED
Object Wallenhorst
Wallenhorst is a municipality in Lower Saxony, Germany, located near the city of Osnabrück.
E676911 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: Wallenhorst | Statement: [Osnabrück district, contains, Wallenhorst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wallenhorst
Context triple: [Osnabrück district, contains, Wallenhorst]
  • A. Delmenhorst
    Delmenhorst is a mid-sized industrial and commuter city in northwestern Germany, located near Bremen in the federal state of Lower Saxony.
  • B. Backworth
    Backworth is a village in North Tyneside, England, historically associated with coal mining and now largely residential.
  • C. Wallhausen
    Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
  • D. Sprockhövel
    Sprockhövel is a small town in North Rhine-Westphalia, Germany, known for its historical coal mining heritage and location in the hilly Ruhr region.
  • E. Duisdorf
    Duisdorf is a district of Bonn, Germany, known as a residential area with local commerce and public services within the borough of Hardtberg.
  • 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: Wallenhorst
Triple: [Osnabrück district, contains, Wallenhorst]
Generated description
Wallenhorst is a municipality in Lower Saxony, Germany, located near the city of Osnabrück.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wallenhorst
Target entity description: Wallenhorst is a municipality in Lower Saxony, Germany, located near the city of Osnabrück.
  • A. Delmenhorst
    Delmenhorst is a mid-sized industrial and commuter city in northwestern Germany, located near Bremen in the federal state of Lower Saxony.
  • B. Backworth
    Backworth is a village in North Tyneside, England, historically associated with coal mining and now largely residential.
  • C. Wallhausen
    Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
  • D. Sprockhövel
    Sprockhövel is a small town in North Rhine-Westphalia, Germany, known for its historical coal mining heritage and location in the hilly Ruhr region.
  • E. Duisdorf
    Duisdorf is a district of Bonn, Germany, known as a residential area with local commerce and public services within the borough of Hardtberg.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927dcb848190a9d31e2435f8a755 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8681d57c08190b72d1b010db3a065 completed March 28, 2026, 11:45 p.m.
NEDg Description generation batch_69c8690ef840819082ecaa16b5cf3f0c completed March 28, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_69c86b70a51c819091590ff094e6e784 completed March 28, 2026, 11:59 p.m.
Created at: March 20, 2026, 2:10 p.m.