Triple

T8770240
Position Surface form Disambiguated ID Type / Status
Subject Fengtian clique E208440 entity
Predicate namedAfter P63 FINISHED
Object Fengtian E115788 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: Fengtian | Statement: [Fengtian clique, namedAfter, Fengtian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fengtian
Context triple: [Fengtian clique, namedAfter, Fengtian]
  • A. Fengtian chosen
    Fengtian is the historical name of Shenyang, a major city in northeastern China that has long served as a political and economic center of the region.
  • B. Fengtian Province
    Fengtian Province was a historical administrative region in northeastern China, centered on modern Liaoning, that played a key role in early 20th-century warlord and Manchurian politics.
  • C. Lüshun
    Lüshun is a strategically important port city in northeastern China, historically known as Port Arthur and noted for its role in several major conflicts.
  • D. 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.
  • E. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5eedc7188190a67d959b9af53837 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf88f4d35c81908de1fd713a5b2008 completed April 3, 2026, 9:31 a.m.
Created at: March 30, 2026, 6:41 p.m.