Triple

T10247796
Position Surface form Disambiguated ID Type / Status
Subject Teke–Mbede languages E240261 entity
Predicate haveLinguisticFeatures P7162 FINISHED
Object 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: noun class system | Statement: [Teke–Mbede languages, haveLinguisticFeatures, noun class system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveLinguisticFeatures
Context triple: [Teke–Mbede languages, haveLinguisticFeatures, noun class system]
  • A. hasLinguisticFeature chosen
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • B. 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).
  • C. hasLinguisticElement
    Indicates that one entity includes, is associated with, or is characterized by a particular linguistic component such as a word, phrase, symbol, or other language element.
  • D. linguisticFeatureStatus
    Indicates the current condition or state of a particular linguistic feature (such as whether it is present, active, obsolete, or otherwise characterized) in relation to an entity.
  • E. hasVerbalFeature
    Indicates that an entity possesses a specific verbal property, characteristic, or behavior related to speech or language.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d328272c8190a3548d7f7f38cfc4 completed April 7, 2026, 9:49 a.m.
PD Predicate disambiguation batch_69d4d1ebd6c88190a1f3f4a72a99d6fe completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:27 a.m.