Triple

T10618201
Position Surface form Disambiguated ID Type / Status
Subject Kharia E295177 entity
Predicate hasNounClassOrGender P5217 FINISHED
Object limited or absent grammatical gender 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: limited or absent grammatical gender | Statement: [Kharia, hasNounClassOrGender, limited or absent grammatical gender]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNounClassOrGender
Context triple: [Kharia, hasNounClassOrGender, limited or absent grammatical gender]
  • A. hasGrammaticalGender
    Indicates that one entity assigns or possesses a specific grammatical gender in relation to another entity (such as a word, phrase, or linguistic unit).
  • B. hasNounClassSystem chosen
    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. hasNoGrammaticalGender
    Indicates that the referenced entity or term is not associated with any grammatical gender category in the relevant language system.
  • D. hasPronounCategory
    Indicates that an entity is associated with a specific category or type of pronoun (such as personal, possessive, reflexive, etc.).
  • E. hasNounDeclensionType
    Indicates that a noun is associated with a specific grammatical declension pattern or type.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d6df6ee1848190a7d5fcd40b06cfe3 completed April 8, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69d6dd7a223c8190854409d76368f3e8 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 8:19 p.m.