Triple

T7724396
Position Surface form Disambiguated ID Type / Status
Subject Ma Xiaotian E175092 entity
Predicate placeOfBirth P1 FINISHED
Object Henan, China E35116 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: Henan, China | Statement: [Ma Xiaotian, placeOfBirth, Henan, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henan, China
Context triple: [Ma Xiaotian, placeOfBirth, Henan, China]
  • A. Henan Province chosen
    Henan Province is a populous landlocked province in central China, historically regarded as a cradle of Chinese civilization and home to several ancient capitals.
  • B. Hsiangcheng, China
    Hsiangcheng, China is a town in Henan Province known as the birthplace of author and social critic Os Guinness.
  • C. Liaocheng, China
    Liaocheng is a historic prefecture-level city in western Shandong Province, eastern China, known for its ancient canal-side old town and cultural heritage.
  • D. Hubei Province
    Hubei Province is a landlocked region in central China known for its capital city Wuhan, major role in industry and transportation, and significant historical and cultural heritage.
  • E. Shangqiu
    Shangqiu is a historic prefecture-level city in eastern Henan Province, China, known as one of the country’s ancient capitals and an important regional transportation hub.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7031279708190a3a5fb64f9206974 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b51faa348190b4fa0b5a307c83db completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:05 p.m.