Triple

T538352
Position Surface form Disambiguated ID Type / Status
Subject Old Dutch E12374 entity
Predicate regionOfUse P82 FINISHED
Object Frisia E15439 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: Frisia | Statement: [Old Dutch, regionOfUse, Frisia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frisia
Context triple: [Old Dutch, regionOfUse, Frisia]
  • A. East Frisia
    East Frisia is a coastal cultural and historical region in northwestern Germany known for its North Sea islands, distinctive Frisian heritage, and strong tea-drinking tradition.
  • B. Friesland chosen
    Friesland is a northern province of the Netherlands known for its distinct Frisian language, rich maritime history, and unique cultural traditions.
  • C. Flanders
    Flanders is the Dutch-speaking northern region of Belgium, known for its rich medieval cities, strong economy, and distinct cultural identity.
  • D. Rhineland
    The Rhineland is a historically significant region in western Germany along the Rhine River, long contested as a strategic and economic heartland in European conflicts.
  • E. East Francia
    East Francia was the eastern Frankish kingdom that emerged from the division of the Carolingian Empire and evolved into the core of the medieval German realm.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a496dc0aac8190afb75ec6c47a1d2d completed March 1, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5aec388190861b0ee100790c7a completed March 1, 2026, 11:31 p.m.
Created at: March 1, 2026, 7:32 p.m.