Triple

T10084871
Position Surface form Disambiguated ID Type / Status
Subject Wülfrath E215193 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Haan
Haan is a town in the German state of North Rhine-Westphalia, known for its location between Düsseldorf and Wuppertal and its mix of residential areas and light industry.
 E841021 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: Haan | Statement: [Wülfrath, hasNeighbouringMunicipality, Haan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haan
Context triple: [Wülfrath, hasNeighbouringMunicipality, Haan]
  • A. Hakha
    Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
  • B. Haenam
    Haenam is a coastal county in South Jeolla Province, South Korea, known for being the country's southernmost mainland point and for its scenic agricultural landscapes.
  • C. Haʻano
    Haʻano is a small inhabited island in the Haʻapai group of Tonga, known for its traditional villages and quiet, rural character.
  • D. Hahn
    Hahn is a surname of German origin borne by various notable individuals across fields such as science, sports, and the arts.
  • E. Haya
    The Haya are a Bantu-speaking ethnic group of northwestern Tanzania, known for their advanced precolonial ironworking and intensive banana-based agriculture around Lake Victoria.
  • 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: Haan
Triple: [Wülfrath, hasNeighbouringMunicipality, Haan]
Generated description
Haan is a town in the German state of North Rhine-Westphalia, known for its location between Düsseldorf and Wuppertal and its mix of residential areas and light industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haan
Target entity description: Haan is a town in the German state of North Rhine-Westphalia, known for its location between Düsseldorf and Wuppertal and its mix of residential areas and light industry.
  • A. Hakha
    Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
  • B. Haenam
    Haenam is a coastal county in South Jeolla Province, South Korea, known for being the country's southernmost mainland point and for its scenic agricultural landscapes.
  • C. Haʻano
    Haʻano is a small inhabited island in the Haʻapai group of Tonga, known for its traditional villages and quiet, rural character.
  • D. Hahn
    Hahn is a surname of German origin borne by various notable individuals across fields such as science, sports, and the arts.
  • E. Haya
    The Haya are a Bantu-speaking ethnic group of northwestern Tanzania, known for their advanced precolonial ironworking and intensive banana-based agriculture around Lake Victoria.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd044c1ec8190b5b48cdb0584d00c completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b68188c48190ac783cdfc072c502 completed April 5, 2026, 7:22 p.m.
NEDg Description generation batch_69d2b7aecdb081909f651c1bc1bcfd75 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b86bf8948190a79046efadc4adea completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 9 p.m.