Triple

T6435644
Position Surface form Disambiguated ID Type / Status
Subject Duala E129886 entity
Predicate hasLinguisticResource P43659 FINISHED
Object grammars and dictionaries compiled by linguists 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: grammars and dictionaries compiled by linguists | Statement: [Duala, hasLinguisticResource, grammars and dictionaries compiled by linguists]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLinguisticResource
Context triple: [Duala, hasLinguisticResource, grammars and dictionaries compiled by linguists]
  • A. hasLinguisticDomain
    Indicates that something (such as a term, expression, or resource) is associated with or applies within a particular linguistic domain or language context.
  • B. hasLinguisticElement
    Indicates that one entity includes, is associated with, or is characterized by a particular linguistic component such as a word, phrase, symbol, or other language element.
  • C. hasLinguisticDocumentation chosen
    Indicates that there exists recorded linguistic information or documentation about the language or linguistic properties of the subject.
  • D. hasLinguisticFeature
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • E. hasLinguisticCode
    Indicates that an entity is associated with a specific linguistic identifier or code (such as a language or script code) that characterizes its linguistic properties.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c069415c3c8190b91bd12ae79edd26 completed March 22, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69c060f96980819091bab9335922a457 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:45 p.m.