Triple

T15787776
Position Surface form Disambiguated ID Type / Status
Subject Aka-Cari E382781 entity
Predicate endangeredLanguagesProjectCode P70984 FINISHED
Object 5533 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: 5533 | Statement: [Aka-Cari, endangeredLanguagesProjectCode, 5533]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: endangeredLanguagesProjectCode
Context triple: [Aka-Cari, endangeredLanguagesProjectCode, 5533]
  • A. 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.
  • B. endangeredLanguageProjectID chosen
    Indicates that there is an associated project identifier specifically for work or documentation related to an endangered language.
  • C. includesEndangeredLanguages
    Indicates that the subject contains, encompasses, or otherwise involves one or more languages classified as endangered.
  • D. languageEndangermentStatus
    Indicates the degree to which a language is at risk of falling out of use or becoming extinct.
  • E. languageEndangermentFactors
    Indicates the various social, political, economic, and cultural conditions that contribute to a language becoming vulnerable, endangered, or 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e054048ff48190ad107c890ef73166 completed April 16, 2026, 3:14 a.m.
PD Predicate disambiguation batch_69e00537bd1c81908d6e832792fd934f completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:48 a.m.