Triple

T10837263
Position Surface form Disambiguated ID Type / Status
Subject Berta E255792 entity
Predicate neighboringLanguages P16383 FINISHED
Object Mao E386666 NE 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: Mao | Statement: [Berta, neighboringLanguages, Mao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mao
Context triple: [Berta, neighboringLanguages, Mao]
  • A. Mao
    Mao is a common Chinese surname borne by numerous historical and contemporary figures across politics, culture, and society.
  • B. Mao chosen
    Mao is an Omotic language spoken in southwestern Ethiopia, known for its complex tonal system and classification within the Afroasiatic language family.
  • C. Mao Zedong
    Mao Zedong was the founding father of the People's Republic of China and the leader of the Chinese Communist Party whose political, military, and ideological leadership reshaped 20th-century China.
  • D. Mao Zejian
    Mao Zejian was a lesser-known member of the Mao family who was involved in early Chinese revolutionary activities and was executed at a young age.
  • E. Deng
    Deng is a common Chinese surname borne by numerous notable figures in politics, military, arts, and other fields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746ff70148190b844ab92d796af6c completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.