Triple

T15692557
Position Surface form Disambiguated ID Type / Status
Subject Li Zicheng E380368 entity
Predicate birthPlace P1 FINISHED
Object Mizhi County E881629 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: Mizhi County | Statement: [Li Zicheng, birthPlace, Mizhi County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mizhi County
Context triple: [Li Zicheng, birthPlace, Mizhi County]
  • A. Mizhi County chosen
    Mizhi County is an administrative county under the jurisdiction of Yulin City in northern Shaanxi Province, China, known for its loess plateau landscapes and historical significance.
  • B. Yutian County
    Yutian County is an administrative county under the jurisdiction of Tangshan City in Hebei Province, northern China.
  • C. Weiyuan County
    Weiyuan County is an administrative region in Gansu Province, China, known for its mountainous terrain and as the headwaters area of the Wei River.
  • D. Qingyang County
    Qingyang County is an administrative county under the jurisdiction of Chizhou City in Anhui Province, eastern China, known for its rural landscapes and traditional culture.
  • E. Pinghe County
    Pinghe County is an administrative county under the jurisdiction of Zhangzhou City in Fujian Province, southeastern China, known for its agricultural production and Hakka cultural heritage.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4f5a888190bd3681bcb9bbc02f completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6eed9a8c8190a57ffce61a27ec17 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:44 a.m.