Triple

T453307
Position Surface form Disambiguated ID Type / Status
Subject Standard Chinese E7177 entity
Predicate primaryLexicalBasis P3083 FINISHED
Object Northern Mandarin dialects 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: Northern Mandarin dialects | Statement: [Standard Chinese, primaryLexicalBasis, Northern Mandarin dialects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLexicalBasis
Context triple: [Standard Chinese, primaryLexicalBasis, Northern Mandarin dialects]
  • A. primaryLexifierLanguage chosen
    Indicates the main source language from which the core vocabulary and structure of another language, typically a contact or creole language, are primarily derived.
  • B. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • C. primaryAlignment
    Indicates the main or most significant way in which one entity is aligned, associated, or in agreement with another entity, standard, or category.
  • D. primaryPosition
    Indicates the main role, job, or position an entity holds among potentially multiple positions.
  • E. hasLexicalInfluenceOn
    Indicates that one linguistic element (such as a word, phrase, or lexicon) has affected or shaped the form, usage, or meaning of another linguistic element.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef866e848190a5b700250ec56256 completed Feb. 28, 2026, 1:37 p.m.
PD Predicate disambiguation batch_69a2ede3187c8190a7ced078f0ec3476 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.