Triple

T13448252
Position Surface form Disambiguated ID Type / Status
Subject Ter Sámi E320540 entity
Predicate hasEndangermentStatusSource P44119 FINISHED
Object UNESCO Atlas of the World’s Languages in Danger E79812 NE FINISHED

How this triple was built (3 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: UNESCO Atlas of the World’s Languages in Danger | Statement: [Ter Sámi, hasEndangermentStatusSource, UNESCO Atlas of the World’s Languages in Danger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNESCO Atlas of the World’s Languages in Danger
Context triple: [Ter Sámi, hasEndangermentStatusSource, UNESCO Atlas of the World’s Languages in Danger]
  • A. UNESCO Atlas of the World’s Languages in Danger chosen
    The UNESCO Atlas of the World’s Languages in Danger is an online reference work that documents and maps endangered languages worldwide, providing information on their vitality and risk of extinction.
  • B. The Atlas of Languages
    The Atlas of Languages is a comprehensive reference work that surveys the world’s linguistic diversity, mapping and describing languages, language families, and their global distribution.
  • C. World Atlas of Language Structures
    The World Atlas of Language Structures is a large-scale, comparative database and reference work that maps structural features of languages around the world.
  • D. The Language Archive
    The Language Archive is a poignant stage play by Julia Cho that explores love, communication, and the limits of language through the story of a linguist struggling to understand the people closest to him.
  • E. Goodbye to Language
    Goodbye to Language is a 2014 experimental 3D film by French New Wave director Jean-Luc Godard that explores fractured communication, perception, and the limits of cinema through a fragmented, essay-like narrative.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEndangermentStatusSource
Context triple: [Ter Sámi, hasEndangermentStatusSource, UNESCO Atlas of the World’s Languages in Danger]
  • A. endangeredStatusSource chosen
    Indicates the authority, reference, or system from which an entity’s endangered or conservation status is derived.
  • B. isEndangeredDueTo
    Indicates that an entity is endangered as a result of the specific cause or factor represented by the related entity.
  • C. hasProtectedAreaStatus
    Indicates that an area is officially designated and managed as a protected area under relevant conservation or legal frameworks.
  • D. hasConservationConcernIn
    Indicates that an entity is subject to a specified conservation concern status within a particular geographic area or jurisdiction.
  • E. conservationStatus
    Indicates the level of risk or protection category assigned to an entity, typically reflecting how threatened it is with extinction or decline.
  • F. None of above.

Provenance (4 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef758b08190b9aa5ec7082cd417 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73998221c8190a2d8982a3da28ec9 completed May 3, 2026, 12:03 p.m.
PD Predicate disambiguation batch_69d9a03ce03481908c61094f0cc0c158 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:41 p.m.