Triple

T6696458
Position Surface form Disambiguated ID Type / Status
Subject Nganasan language E152761 entity
Predicate hasPronominalSystem P26817 FINISHED
Object distinguishes person and number 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: distinguishes person and number | Statement: [Nganasan language, hasPronominalSystem, distinguishes person and number]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPronominalSystem
Context triple: [Nganasan language, hasPronominalSystem, distinguishes person and number]
  • A. hasPronounSystem chosen
    Indicates that an entity possesses or employs a particular system or set of rules for using pronouns.
  • B. hasNounClassSystem
    Indicates that an entity possesses a grammatical system in which nouns are categorized into distinct classes that affect their agreement with other elements in the language.
  • C. hasPronounCategory
    Indicates that an entity is associated with a specific category or type of pronoun (such as personal, possessive, reflexive, etc.).
  • D. hasPunctuationSystem
    Indicates that an entity possesses or employs a system of punctuation marks for structuring written language.
  • E. hasDemonstrativeSystem
    Indicates that an entity possesses or employs a system of demonstratives (e.g., words or markers used to indicate spatial, temporal, or discourse-related reference such as “this,” “that,” “these,” “those”).
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b5ed99e48190970805225458ce82 completed March 27, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69c6ad0e1d348190af1762ea1951038e completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2:05 p.m.