Triple

T9881661
Position Surface form Disambiguated ID Type / Status
Subject Netherlands postal code system E180820 entity
Predicate languageConstraint P66413 FINISHED
Object Latin alphabet letters — 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: Latin alphabet letters | Statement: [Netherlands postal code system, languageConstraint, Latin alphabet letters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageConstraint
Context triple: [Netherlands postal code system, languageConstraint, Latin alphabet letters]
  • A. languageSpecifies
    Indicates that one entity defines or constrains the syntax, semantics, or usage rules that govern how another language or linguistic system is expressed or interpreted.
  • B. languageCriterion
    Indicates that a relationship or selection is based on whether something meets a specified language-related requirement or condition.
  • C. languageIndependence
    Indicates that a concept, method, or representation does not depend on any specific programming or natural language and can be applied uniformly across different languages.
  • D. eligibleLanguage
    Indicates that a particular language satisfies the required conditions to be considered valid or allowed in a given context.
  • E. hasLanguageRestriction chosen
    Indicates that an entity is subject to limitations or specific conditions regarding the languages it can use, support, or be associated with.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb41639c88190a9ef3d950485e3ab completed April 2, 2026, 12:11 a.m.
PD Predicate disambiguation batch_69cd1d810ed48190a252b70e9390c8f3 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:38 p.m.