Triple

T12039883
Position Surface form Disambiguated ID Type / Status
Subject Ukaan language E286631 entity
Predicate isPoorlyDescribedIn P100401 FINISHED
Object linguistic literature 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: linguistic literature | Statement: [Ukaan language, isPoorlyDescribedIn, linguistic literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPoorlyDescribedIn
Context triple: [Ukaan language, isPoorlyDescribedIn, linguistic literature]
  • A. areUnderdescribed chosen
    Indicates that the entities lack sufficient detail or explanation relative to what is needed or expected.
  • B. notDescribedAs
    Indicates that an entity is explicitly not characterized, labeled, or referred to using a particular description or term.
  • C. describedIn
    Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
  • D. isPoorlyAttested
    Indicates that there is limited, weak, or unreliable evidence or documentation supporting the existence, usage, or occurrence of the related item or relationship.
  • E. isDescriptive
    Indicates that one entity provides a description or characterization of another entity.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69d902bac9e08190aa1a99c835f29542 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:47 p.m.