Triple

T23506481
Position Surface form Disambiguated ID Type / Status
Subject Proto-Sinitic E572293 entity
Predicate branch P889 FINISHED
Object Sinitic NE NERFINISHED

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: Sinitic | Statement: [Proto-Sinitic, branch, Sinitic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinitic
Context triple: [Proto-Sinitic, branch, Sinitic]
  • A. Sinitovo
    Sinitovo is a village in southern Bulgaria located within the administrative region of Pazardzhik in the Upper Thracian Plain.
  • B. Hanyu
    Hanyu is a Chinese given name shared by various individuals, including notable figures in fields such as acting, sports, and academia.
  • C. Chinese language chosen
    The Chinese language is a family of related Sinitic languages and dialects, including Mandarin, Cantonese, and others, spoken by over a billion people primarily in China and across Chinese-speaking communities worldwide.
  • D. Mandarin Chinese
    Mandarin Chinese is the most widely spoken variety of Chinese and a major world language used across mainland China, Taiwan, and many overseas Chinese communities.
  • E. Chinese
    Chinese are an East Asian ethnic group originating from China, characterized by a shared cultural heritage, language traditions, and a global diaspora.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a9009ca081908c4cffb8c32293ec completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:07 p.m.