Triple

T10489852
Position Surface form Disambiguated ID Type / Status
Subject Surmic languages E247385 entity
Predicate areUnderDocumented P18402 FINISHED
Object several member languages are under-documented 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: several member languages are under-documented | Statement: [Surmic languages, areUnderDocumented, several member languages are under-documented]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areUnderDocumented
Context triple: [Surmic languages, areUnderDocumented, several member languages are under-documented]
  • A. hasLimitedDocumentation chosen
    Indicates that the subject is associated with documentation that is sparse, incomplete, or not sufficiently detailed.
  • B. notDescribedAs
    Indicates that an entity is explicitly not characterized, labeled, or referred to using a particular description or term.
  • C. documentedUsing
    Indicates that something is recorded, described, or specified by means of a particular document, tool, or documentation method.
  • D. underDevelopment
    Indicates that something is currently being created, improved, or worked on and is not yet in its final or completed state.
  • E. documentedThrough
    Indicates that something is recorded, evidenced, or made known by means of a specific document or documentation process.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ca5c081908b47a08ca7885650 completed April 7, 2026, 1:41 p.m.
PD Predicate disambiguation batch_69d4fb8a30848190b33cf43f005a028e completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:23 p.m.