Triple

T6446527
Position Surface form Disambiguated ID Type / Status
Subject Makua group E138355 entity
Predicate linguisticCharacteristic P7162 FINISHED
Object Bantu noun class system 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: Bantu noun class system | Statement: [Makua group, linguisticCharacteristic, Bantu noun class system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linguisticCharacteristic
Context triple: [Makua group, linguisticCharacteristic, Bantu noun class system]
  • A. linguisticFeature
    Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
  • B. languageCharacterizedBy
    Indicates that a language is defined or distinguished by a particular feature, property, or characteristic.
  • C. linguisticIdentity
    Indicates that two or more entities share, express, or are characterized by the same language or linguistic affiliation.
  • D. linguisticType
    Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
  • E. hasLinguisticFeature chosen
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698edeac81909426902471d8a57b completed March 22, 2026, 10:13 p.m.
PD Predicate disambiguation batch_69c0673b44148190aed70084f0ff4992 completed March 22, 2026, 10:03 p.m.
Created at: March 22, 2026, 4:46 p.m.