Triple

T17286603
Position Surface form Disambiguated ID Type / Status
Subject Veluws dialect E419669 entity
Predicate tendsToBeReplacedBy P82114 FINISHED
Object Standard Dutch in formal contexts LITERAL 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: Standard Dutch in formal contexts | Statement: [Veluws dialect, tendsToBeReplacedBy, Standard Dutch in formal contexts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tendsToBeReplacedBy
Context triple: [Veluws dialect, tendsToBeReplacedBy, Standard Dutch in formal contexts]
  • A. mayBeReplacedBy
    Indicates that one entity can potentially be substituted or superseded by another entity.
  • B. oftenReplacedBy chosen
    Indicates that one entity is frequently substituted or superseded by another in similar contexts or uses.
  • C. placedBy
    Indicates that one entity was positioned, set, or put in a location or context by another entity.
  • D. partlyReplacedBy
    Indicates that one entity has been superseded or substituted in part, but not entirely, by another entity.
  • E. indirectlyReplacedBy
    Indicates that one entity has been superseded or taken over by another entity through one or more intermediate replacements, rather than by a direct, immediate substitution.
  • F. None of above.

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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4378024988190aac6aec006f8f7a1 completed April 19, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69e3b0118ad08190b119cd219c68ba67 completed April 18, 2026, 4:23 p.m.
Created at: April 10, 2026, 5:40 a.m.