Triple

T16412172
Position Surface form Disambiguated ID Type / Status
Subject Emperor Aizong of Jin E398592 entity
Predicate reignName P32785 FINISHED
Object Tianli E1195502 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: Tianli | Statement: [Emperor Aizong of Jin, reignName, Tianli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tianli
Context triple: [Emperor Aizong of Jin, reignName, Tianli]
  • A. Yingtian
    Yingtian was an important early Ming dynasty capital city, historically centered around present-day Nanjing in China.
  • B. Tianjuan chosen
    Tianjuan was a historical Chinese era name used during the reign of Emperor Taizong of the Jurchen-led Jin dynasty.
  • C. Wulian
    Wulian is a county-level city in eastern China’s Shandong province, known for its mountainous scenery and location on the Shandong Peninsula.
  • D. Tiant
    Tiant is a surname most notably associated with Cuban former Major League Baseball pitcher Luis Tiant, known for his distinctive delivery and success with the Boston Red Sox in the 1970s.
  • E. Jingyu
    Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
  • 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.