Triple

T16412184
Position Surface form Disambiguated ID Type / Status
Subject Emperor Aizong of Jin E398592 entity
Predicate deathPlace P21 FINISHED
Object Caizhou E391588 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: Caizhou | Statement: [Emperor Aizong of Jin, deathPlace, Caizhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caizhou
Context triple: [Emperor Aizong of Jin, deathPlace, Caizhou]
  • A. Caizhou chosen
    Caizhou was a historic Chinese city best known as the final capital of the Jurchen-led Jin dynasty before its fall to the Mongols.
  • B. Yunfu
    Yunfu is a prefecture-level city in western Guangdong Province, China, known for its stone-processing industry and karst landscapes.
  • C. Lianzhou
    Lianzhou is a town-level settlement located within Doumen District of Zhuhai in Guangdong Province, China.
  • D. Shanwei
    Shanwei is a coastal city in eastern Guangdong Province, China, known for its fishing industry and location along major transportation routes on the South China Sea.
  • E. Shekou
    Shekou is a coastal district in Shenzhen, China, known as a major transportation and commercial hub with significant port facilities and expatriate communities.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32874a0cc8190874aea10b1d13004 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c68b7408190a9612a57f146dc30 completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.