Triple

T16061073
Position Surface form Disambiguated ID Type / Status
Subject Xinyou Coup E389611 entity
Predicate opponent P437 FINISHED
Object Zaiyuan E1193735 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: Zaiyuan | Statement: [Xinyou Coup, opponent, Zaiyuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaiyuan
Context triple: [Xinyou Coup, opponent, Zaiyuan]
  • A. Zaiyuan chosen
    Zaiyuan was a late Qing dynasty Manchu prince and statesman who played a key role in court politics and was ultimately executed for his involvement in the failed Xinyou Coup of 1861.
  • B. Jianyan
    Jianyan was the reign era name marking the early rule of Emperor Gaozong during the Southern Song dynasty in China.
  • C. Dunhua
    Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
  • D. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • E. 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.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183795100819097be92e6d07dc5b1 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff29836bc8190b35f528d3e8547be completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:57 a.m.