Triple

T29879537
Position Surface form Disambiguated ID Type / Status
Subject Barito language E758837 entity
Predicate hasSemanticDomainStrength P196831 FINISHED
Object riverine and forest-related 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: riverine and forest-related vocabulary | Statement: [Barito language, hasSemanticDomainStrength, riverine and forest-related vocabulary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSemanticDomainStrength
Context triple: [Barito language, hasSemanticDomainStrength, riverine and forest-related vocabulary]
  • A. hasMeaningDomain chosen
    Indicates that something (such as a term, symbol, or expression) is associated with a particular conceptual or semantic domain in which its meaning is defined or applicable.
  • B. hasSemanticRestriction
    Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
  • C. hasSemanticsDefinedBy
    Indicates that the meaning or interpretation of one entity is specified, constrained, or determined by another entity.
  • D. hasSemantics
    Indicates that one entity carries or encodes the meaning, interpretation, or semantic content associated with another entity.
  • E. hasLinguisticDomain
    Indicates that something (such as a term, expression, or resource) is associated with or applies within a particular linguistic domain or language context.
  • 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_69f2245de2f48190a481404896b56254 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fe72dca2f08190beff17de3d2aada6 completed May 8, 2026, 11:33 p.m.
PD Predicate disambiguation batch_69fe70bca8d08190b810e1e616ceac44 completed May 8, 2026, 11:24 p.m.
Created at: April 29, 2026, 5:57 p.m.