Triple

T13367763
Position Surface form Disambiguated ID Type / Status
Subject Aka-Bo E318983 entity
Predicate causeOfLanguageEndangerment P45185 FINISHED
Object population decline of Bo people 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: population decline of Bo people | Statement: [Aka-Bo, causeOfLanguageEndangerment, population decline of Bo people]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfLanguageEndangerment
Context triple: [Aka-Bo, causeOfLanguageEndangerment, population decline of Bo people]
  • A. languageEndangermentFactors chosen
    Indicates the various social, political, economic, and cultural conditions that contribute to a language becoming vulnerable, endangered, or extinct.
  • B. endangeredLanguage
    Indicates that a language is at risk of falling out of use and potentially becoming extinct due to having too few active speakers or insufficient intergenerational transmission.
  • C. includesEndangeredLanguages
    Indicates that the subject contains, encompasses, or otherwise involves one or more languages classified as endangered.
  • D. causeOfLanguageShift
    Indicates a factor or event that leads to a change from one dominant language or linguistic pattern to another within a community or population.
  • E. languageEndangermentStatus
    Indicates the degree to which a language is at risk of falling out of use or becoming extinct.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd652d48190a782fd1f57f34b6a completed April 11, 2026, 11:44 p.m.
PD Predicate disambiguation batch_69d9a02c9abc8190b328e7bae747bfc5 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:32 p.m.