Triple

T9667927
Position Surface form Disambiguated ID Type / Status
Subject Haojing E233751 entity
Predicate succeededBy P78 FINISHED
Object Luoyi E237343 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: Luoyi | Statement: [Haojing, succeededBy, Luoyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luoyi
Context triple: [Haojing, succeededBy, Luoyi]
  • A. Luoyi chosen
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • B. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • C. Ronglu
    Ronglu was a high-ranking Qing dynasty general and statesman who played a key role in military and political affairs during the late imperial period, including the Boxer Rebellion.
  • D. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • E. Changyi
    Changyi is a county-level coastal city in northeastern Shandong Province, China, known for its manufacturing industries and location on the Bohai Sea.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c3c06e4819080c1b8e66faa482f completed April 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190f691c8819093fe133bdbe1c9d1 completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:15 p.m.