Triple

T15278009
Position Surface form Disambiguated ID Type / Status
Subject Tucanoan languages E365192 entity
Predicate hasNotableResearchTopic P934 FINISHED
Object evidentiality and epistemic marking 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: evidentiality and epistemic marking | Statement: [Tucanoan languages, hasNotableResearchTopic, evidentiality and epistemic marking]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableResearchTopic
Context triple: [Tucanoan languages, hasNotableResearchTopic, evidentiality and epistemic marking]
  • A. hasNotableResearchOutput
    Indicates that an entity is associated with significant, recognized, or influential research results or publications.
  • B. usesResearchSubject
    Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
  • C. hasResearchArea chosen
    Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
  • D. hasNotableSubject
    Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
  • E. hasNotableScholar
    Indicates that an entity is associated with a scholar who is recognized as particularly distinguished or influential in relation to that entity.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00953bc848190b83919f39d5ee37b completed April 15, 2026, 9:55 p.m.
PD Predicate disambiguation batch_69deca90739081909bd1b797cdb8af2b completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:14 a.m.