Triple

T16119629
Position Surface form Disambiguated ID Type / Status
Subject Bünde E391098 entity
Predicate hasSubdivision P747 FINISHED
Object Hunnebrock
Hunnebrock is a district (Stadtteil) of the town of Bünde in the German state of North Rhine-Westphalia.
E1197234 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: Hunnebrock | Statement: [Bünde, hasSubdivision, Hunnebrock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunnebrock
Context triple: [Bünde, hasSubdivision, Hunnebrock]
  • A. Hagenborgh
    Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
  • B. Fuhlenbrock
    Fuhlenbrock is a residential district of the city of Bottrop in North Rhine-Westphalia, Germany.
  • C. Eikenberg
    Eikenberg is a well-known cobbled climb in the Flemish Ardennes, frequently featured in Belgian professional cycling races.
  • D. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • E. Kornhain
    Kornhain is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • 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: Hunnebrock
Triple: [Bünde, hasSubdivision, Hunnebrock]
Generated description
Hunnebrock is a district (Stadtteil) of the town of Bünde in the German state of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hunnebrock
Target entity description: Hunnebrock is a district (Stadtteil) of the town of Bünde in the German state of North Rhine-Westphalia.
  • A. Hagenborgh
    Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
  • B. Fuhlenbrock
    Fuhlenbrock is a residential district of the city of Bottrop in North Rhine-Westphalia, Germany.
  • C. Eikenberg
    Eikenberg is a well-known cobbled climb in the Flemish Ardennes, frequently featured in Belgian professional cycling races.
  • D. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • E. Kornhain
    Kornhain is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016d527c8190928e73661b18a914 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79ecea0819083aa5cb676d49f64 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff87caefc8190836d690dfb2523f9 completed May 10, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_69fff98b3d7c8190bb284321d17f58e2 completed May 10, 2026, 3:20 a.m.
Created at: April 10, 2026, 5 a.m.