Triple

T4100370
Position Surface form Disambiguated ID Type / Status
Subject Sallands E87924 entity
Predicate hasAlternativeName P39 FINISHED
Object Sallaands
Sallaands is a regional dialect of Dutch spoken in the Salland area of the province of Overijssel in the Netherlands.
 E414044 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: Sallaands | Statement: [Sallands, hasAlternativeName, Sallaands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sallaands
Context triple: [Sallands, hasAlternativeName, Sallaands]
  • A. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Sardoal
    Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
  • D. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • E. Noorden
    Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
  • 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: Sallaands
Triple: [Sallands, hasAlternativeName, Sallaands]
Generated description
Sallaands is a regional dialect of Dutch spoken in the Salland area of the province of Overijssel in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sallaands
Target entity description: Sallaands is a regional dialect of Dutch spoken in the Salland area of the province of Overijssel in the Netherlands.
  • A. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Sardoal
    Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
  • D. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • E. Noorden
    Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0d9c508190b8aedf83f3310513 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7833b081909bf5a87ee709b49f completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56f33f7688190a017e4486a3ba542 completed March 14, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69b56fafb8208190997b6d91c4a1774d completed March 14, 2026, 2:24 p.m.
Created at: March 9, 2026, 3:40 p.m.