Triple

T17983652
Position Surface form Disambiguated ID Type / Status
Subject Zhonghe District E430168 entity
Predicate romanization P2508 FINISHED
Object Zhonghe 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: Zhonghe | Statement: [Zhonghe District, romanization, Zhonghe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhonghe
Context triple: [Zhonghe District, romanization, Zhonghe]
  • A. Zhonghe chosen
    Zhonghe was the reign era title used by Emperor Xizong during a late period of the Tang dynasty in China.
  • B. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • C. Xinzhu
    Xinzhu is a city that serves as a sister city to Bielefeld, Germany, and is likely a regional urban center with cultural and economic significance.
  • D. Changyi
    Changyi is a county-level coastal city in northeastern Shandong Province, China, known for its manufacturing industries and location on the Bohai Sea.
  • E. Wenzhong
    Wenzhong is the posthumous honorific title granted to the eminent Song dynasty scholar-official, historian, and poet Ouyang Xiu.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b2992fe481908c0d2757b4de5bad completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.