Triple

T7180337
Position Surface form Disambiguated ID Type / Status
Subject Minsener Oog E167429 entity
Predicate near P350 FINISHED
Object Hooksiel
Hooksiel is a coastal village in northern Germany’s Wangerland region, known for its North Sea beaches, harbor, and proximity to the Wadden Sea.
 E647893 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: Hooksiel | Statement: [Minsener Oog, near, Hooksiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hooksiel
Context triple: [Minsener Oog, near, Hooksiel]
  • A. Harku
    Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
  • B. Haukeli
    Haukeli is a mountainous village area in southern Norway known as a key transit point and outdoor recreation destination, especially for skiing and hiking.
  • C. Quatchi
    Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
  • D. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • E. Hauketo
    Hauketo is a residential neighborhood in the southern part of Oslo, Norway, known for its mix of apartment blocks, green areas, and access to public transportation.
  • 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: Hooksiel
Triple: [Minsener Oog, near, Hooksiel]
Generated description
Hooksiel is a coastal village in northern Germany’s Wangerland region, known for its North Sea beaches, harbor, and proximity to the Wadden Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hooksiel
Target entity description: Hooksiel is a coastal village in northern Germany’s Wangerland region, known for its North Sea beaches, harbor, and proximity to the Wadden Sea.
  • A. Harku
    Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
  • B. Haukeli
    Haukeli is a mountainous village area in southern Norway known as a key transit point and outdoor recreation destination, especially for skiing and hiking.
  • C. Quatchi
    Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
  • D. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • E. Hauketo
    Hauketo is a residential neighborhood in the southern part of Oslo, Norway, known for its mix of apartment blocks, green areas, and access to public transportation.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8ba91908190a9055d4e026b655c completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b935eb088190acb0b8a6b75addbb completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7bcfaf8608190908c5b58ecdf9aff completed March 28, 2026, 11:35 a.m.
NED2 Entity disambiguation (via description) batch_69c7bd68f4688190aa8ac988d2435bb7 completed March 28, 2026, 11:37 a.m.
Created at: March 27, 2026, 2:49 p.m.