Triple

T4178646
Position Surface form Disambiguated ID Type / Status
Subject Veluws E86538 entity
Predicate hasDialectContinuumWith P18451 FINISHED
Object Twents E84675 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: Twents | Statement: [Veluws, hasDialectContinuumWith, Twents]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twents
Context triple: [Veluws, hasDialectContinuumWith, Twents]
  • A. Twents chosen
    Twents is a Dutch Low Saxon dialect spoken in the Twente region of the eastern Netherlands.
  • B. Tweants
    Tweants is a Low Saxon regional dialect spoken in the Twente region of the eastern Netherlands.
  • C. Younger
    Younger is a television comedy-drama series about a 40-year-old woman who pretends to be in her twenties to reenter the competitive publishing industry.
  • D. New Youth
    New Youth was an influential early 20th-century Chinese literary and intellectual magazine that championed modern ideas such as democracy, science, and vernacular language, helping to shape the New Culture Movement.
  • E. A-Teens
    A-Teens were a Swedish pop group formed in the late 1990s, best known for their modern, teen-oriented covers of ABBA songs and subsequent original pop releases.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af030114c88190b725908a32ace750 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589f5864881909c9fc787dd9b2341 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:45 p.m.