Triple

T2998743
Position Surface form Disambiguated ID Type / Status
Subject Bo (Great Andamanese language) E81133 entity
Predicate languageEndangerment P13442 FINISHED
Object moribund before extinction 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: moribund before extinction | Statement: [Bo (Great Andamanese language), languageEndangerment, moribund before extinction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageEndangerment
Context triple: [Bo (Great Andamanese language), languageEndangerment, moribund before extinction]
  • A. languageEndangermentStatus chosen
    Indicates the degree to which a language is at risk of falling out of use or becoming extinct.
  • B. includesEndangeredLanguages
    Indicates that the subject contains, encompasses, or otherwise involves one or more languages classified as endangered.
  • C. languageDiversity
    Indicates the degree to which multiple distinct languages are present and used within a given context or population.
  • D. ethnicLanguageStatus
    Indicates the status or role of a language in relation to a particular ethnic group (e.g., primary, secondary, heritage, or minority language).
  • E. linguisticIsolation
    Indicates a condition where an entity is separated from others in terms of language, lacking shared or effective linguistic communication.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f766408190a5591efce8346bb9 completed March 8, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69ad9615fefc8190ad96da92519cb7a3 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:59 p.m.