Triple

T5952392
Position Surface form Disambiguated ID Type / Status
Subject Aa en Hunze E132430 entity
Predicate contains P35 FINISHED
Object Hondsrug region E531524 NE FINISHED

How this triple was built (2 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: Hondsrug region | Statement: [Aa en Hunze, contains, Hondsrug region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hondsrug region
Context triple: [Aa en Hunze, contains, Hondsrug region]
  • A. Franekeradeel region
    Franekeradeel region was a former municipality in the province of Friesland in the northern Netherlands, known for encompassing the historic university town of Franeker.
  • B. Hondsrug area chosen
    The Hondsrug area is a distinctive ridge landscape in the northeastern Netherlands, known for its glacially formed terrain, prehistoric burial mounds, and rich archaeological and cultural heritage.
  • C. Altmark region
    The Altmark region is a historic rural area in northern Germany known as one of the cradles of Brandenburg and Prussian history.
  • D. Maas region
    The Maas region is a historical maritime and administrative area in the Netherlands associated with naval governance and trade along the River Meuse.
  • E. Taunus region
    The Taunus region is a low mountain range in Hesse, Germany, known for its forested hills, spa towns, and historical castles overlooking the Rhine-Main area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03983b8848190afaa37f35c95bad6 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1082d00308190a8e92bb633e7f292 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:02 p.m.