Triple

T10775714
Position Surface form Disambiguated ID Type / Status
Subject Mararit language E254190 entity
Predicate degreeOfDocumentation P18507 FINISHED
Object poorly 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: poorly documented | Statement: [Mararit language, degreeOfDocumentation, poorly documented]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: degreeOfDocumentation
Context triple: [Mararit language, degreeOfDocumentation, poorly documented]
  • A. documentationLevel chosen
    Indicates the extent or thoroughness to which something is described, specified, or supported by written or recorded documentation.
  • B. hasLimitedDocumentation
    Indicates that the subject is associated with documentation that is sparse, incomplete, or not sufficiently detailed.
  • C. hasDocumentationStatus
    Indicates the current state or condition of documentation associated with an entity, such as whether it exists, is complete, or is up to date.
  • D. documentedUsing
    Indicates that something is recorded, described, or specified by means of a particular document, tool, or documentation method.
  • E. degreeOfAttestation
    Indicates the extent or level to which something (such as a claim, form, or document) is supported, verified, or confirmed by evidence or authoritative sources.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329cc6c881908f827edff941d456 completed April 9, 2026, 5:01 a.m.
PD Predicate disambiguation batch_69d6f31455648190b5c24690487b1b54 completed April 9, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:16 p.m.