Triple

T9610583
Position Surface form Disambiguated ID Type / Status
Subject Jeong E232087 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Chŏng E321784 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: Chŏng | Statement: [Jeong, hasAlternativeTransliteration, Chŏng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chŏng
Context triple: [Jeong, hasAlternativeTransliteration, Chŏng]
  • A. Cheong chosen
    Cheong is a variant transliteration of the Chinese surname commonly romanized as Zhang, used in certain dialects and regional naming conventions.
  • B. Koung-Khi
    Koung-Khi is an administrative department located in the West Region of Cameroon.
  • C. Yeoncheon
    Yeoncheon is a county in Gyeonggi Province, South Korea, known for its location near the Demilitarized Zone (DMZ) and its significant historical and military sites.
  • D. Myeong-bok
    Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
  • E. Chongra
    Chongra is a small settlement located in Pakistan’s Astore Valley in the Gilgit-Baltistan region of the Himalayas.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a85d4c881909ccab2e972d97e68 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179513f9081909bcd9a456c640ba3 completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:08 p.m.