Triple

T21603455
Position Surface form Disambiguated ID Type / Status
Subject Bilua E533108 entity
Predicate hasNominalClassification P25488 FINISHED
Object gender-like distinctions 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: gender-like distinctions | Statement: [Bilua, hasNominalClassification, gender-like distinctions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNominalClassification
Context triple: [Bilua, hasNominalClassification, gender-like distinctions]
  • A. nominalStatus
    Indicates that an entity holds a particular title, label, or status in name or designation, without necessarily implying associated functions or actions.
  • B. areClassifiedBy chosen
    Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
  • C. hasNominalMorphology
    Indicates that an entity possesses a system of nominal morphology, such as inflectional or derivational markers on nouns.
  • D. hasProposedClassification
    Indicates that an entity has suggested or put forward a particular classification for consideration or adoption.
  • E. hasNormativeCategory
    Indicates that something is associated with a particular normative category, such as a standard, rule, or evaluative classification that prescribes how it ought to be regarded or treated.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e31c80819090fdd63b5c103acb completed April 27, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69e69665fe8c8190af7e38785db188b2 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:33 p.m.