Triple

T22370821
Position Surface form Disambiguated ID Type / Status
Subject Malwai boli E553033 entity
Predicate hasLexicalTrait P7161 FINISHED
Object use of region-specific agricultural vocabulary 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: use of region-specific agricultural vocabulary | Statement: [Malwai boli, hasLexicalTrait, use of region-specific agricultural vocabulary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLexicalTrait
Context triple: [Malwai boli, hasLexicalTrait, use of region-specific agricultural vocabulary]
  • A. hasLinguisticFeature
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • B. hasLinguisticElement chosen
    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. hasLinguisticAreaFeature
    Indicates that a linguistic area possesses or is characterized by a particular linguistic feature or property.
  • D. hasLinguisticVariationType
    Indicates that one linguistic form is related to another by a specific type of variation, such as dialectal, orthographic, morphological, or phonological difference.
  • E. linguisticFeature
    Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15803e7208190ba14c91fb90e15ca completed April 29, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69e73011e6388190a05edf137f488441 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:44 p.m.