Triple

T15803418
Position Surface form Disambiguated ID Type / Status
Subject E383150 entity
Predicate romanizationVariant P5923 FINISHED
Object Jao E383153 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: Jao | Statement: [趙, romanizationVariant, Jao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jao
Context triple: [趙, romanizationVariant, Jao]
  • A. Jao chosen
    Jao is a variant transliteration of the Chinese surname commonly rendered as Zhao.
  • B. Joyo
    Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
  • C. Djao
    Djao is an alternative name for the Yao, an ethnic group found primarily in parts of China and Southeast Africa, known for their distinct cultural traditions and languages.
  • D. Jauro
    Jauro is an alternative name for the Yawuru, an Aboriginal Australian people traditionally associated with the Broome region of Western Australia.
  • E. Joha
    "Joha" is a popular Afrobeats track by Nigerian singer Asake, known for its catchy rhythm and street-influenced sound.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b524835c8190ae286b2562f07756 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90b4fe5881909471887219654d69 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.