Triple

T103773
Position Surface form Disambiguated ID Type / Status
Subject Dutch E2096 entity
Predicate hasDialects P4251 FINISHED
Object Achterhooks
Achterhooks is a regional Low Saxon dialect spoken in the Achterhoek area of the eastern Netherlands.
 E14290 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: Achterhooks | Statement: [Dutch, hasDialects, Achterhooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Achterhooks
Context triple: [Dutch, hasDialects, Achterhooks]
  • A. Horseshoe
    Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
  • B. The Eagle
    The Eagle is a 1925 silent adventure film starring Rudolph Valentino as a dashing Russian outlaw hero.
  • C. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • D. Hollein
    Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
  • E. Heer
    The Heer was the land-based component of Nazi Germany’s armed forces, serving as its primary army during World War II.
  • 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: Achterhooks
Triple: [Dutch, hasDialects, Achterhooks]
Generated description
Achterhooks is a regional Low Saxon dialect spoken in the Achterhoek area of the eastern Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Achterhooks
Target entity description: Achterhooks is a regional Low Saxon dialect spoken in the Achterhoek area of the eastern Netherlands.
  • A. Horseshoe
    Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
  • B. The Eagle
    The Eagle is a 1925 silent adventure film starring Rudolph Valentino as a dashing Russian outlaw hero.
  • C. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • D. Hollein
    Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
  • E. Heer
    The Heer was the land-based component of Nazi Germany’s armed forces, serving as its primary army during World War II.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256aaed108190ba12e36364d30ede completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a29e45d6488190bc982137255c79f9 completed Feb. 28, 2026, 7:50 a.m.
NEDg Description generation batch_69a2a04b1d008190aa1b353cb239de69 completed Feb. 28, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69a2a17dd35c81909b90cae5ad204aae completed Feb. 28, 2026, 8:04 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.