Triple

T17310955
Position Surface form Disambiguated ID Type / Status
Subject Hindeloopen E420291 entity
Predicate hasLocalDialect P1762 FINISHED
Object Hylpers
Hylpers is the traditional local dialect spoken in the Frisian town of Hindeloopen in the Netherlands.
E1261421 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: Hylpers | Statement: [Hindeloopen, hasLocalDialect, Hylpers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hylpers
Context triple: [Hindeloopen, hasLocalDialect, Hylpers]
  • A. Halidrys
    Halidrys is a genus of brown seaweeds in the order Fucales, known for its branched, buoyant thalli found in temperate marine waters.
  • B. Hulsonniaux
    Hulsonniaux is a small village in the municipality of Houyet, located in the Wallonia region of Belgium.
  • C. Horriwil
    Horriwil is a small Swiss municipality located in the canton of Solothurn.
  • D. Hasskyn
    Hasskyn is a fictional planet in the Star Wars universe known primarily as the birthplace of Resistance spy Vi Moradi.
  • E. Hurlus
    Hurlus is a former village in northeastern France that was destroyed during World War I and is now remembered as one of the "villages that died for France."
  • 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: Hylpers
Triple: [Hindeloopen, hasLocalDialect, Hylpers]
Generated description
Hylpers is the traditional local dialect spoken in the Frisian town of Hindeloopen in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hylpers
Target entity description: Hylpers is the traditional local dialect spoken in the Frisian town of Hindeloopen in the Netherlands.
  • A. Halidrys
    Halidrys is a genus of brown seaweeds in the order Fucales, known for its branched, buoyant thalli found in temperate marine waters.
  • B. Hulsonniaux
    Hulsonniaux is a small village in the municipality of Houyet, located in the Wallonia region of Belgium.
  • C. Horriwil
    Horriwil is a small Swiss municipality located in the canton of Solothurn.
  • D. Hasskyn
    Hasskyn is a fictional planet in the Star Wars universe known primarily as the birthplace of Resistance spy Vi Moradi.
  • E. Hurlus
    Hurlus is a former village in northeastern France that was destroyed during World War I and is now remembered as one of the "villages that died for France."
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399837b08190b7cf74201b3cb013 completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e5043081908f31c2434e9b9647 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a0182e466e8819096f61fb74d4147c5 completed May 11, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_6a01840ddbb08190a542faba4ca26e5a completed May 11, 2026, 7:23 a.m.
Created at: April 10, 2026, 5:43 a.m.