Triple

T7720649
Position Surface form Disambiguated ID Type / Status
Subject Amuesha language E174998 entity
Predicate hasSpeakerAttitudes P27747 FINISHED
Object growing interest in preservation among younger Yanesha' 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: growing interest in preservation among younger Yanesha' | Statement: [Amuesha language, hasSpeakerAttitudes, growing interest in preservation among younger Yanesha']
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpeakerAttitudes
Context triple: [Amuesha language, hasSpeakerAttitudes, growing interest in preservation among younger Yanesha']
  • A. hasUserAttitude chosen
    Indicates that one entity holds a particular attitude, opinion, or evaluative stance toward another entity or subject.
  • B. hasSpeakersAmong
    Indicates that a group, event, or entity includes one or more speakers drawn from a specified set or category.
  • C. hasSpeakersIn
    Indicates that an entity (such as an event, conference, or session) includes or is associated with speakers located in or belonging to a specified place or group.
  • D. hasSpeakerType
    Indicates that an entity functions in a particular role or category as a speaker (e.g., narrator, character, announcer) within a given context.
  • E. speakers
    Indicates that one or more entities produce spoken language or vocal communication, typically addressing an audience or participating in a conversation.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7074eca4c8190bd51fd1b450729e8 completed March 27, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69c7016a6cf88190b53bf4b958f0f302 completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:05 p.m.