Triple

T651144
Position Surface form Disambiguated ID Type / Status
Subject Chinese Jews of Kaifeng E11347 entity
Predicate locatedIn P40 FINISHED
Object Kaifeng E131801 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: Kaifeng | Statement: [Chinese Jews of Kaifeng, locatedIn, Kaifeng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaifeng
Context triple: [Chinese Jews of Kaifeng, locatedIn, Kaifeng]
  • A. Kaifeng chosen
    Kaifeng is an ancient city in eastern Henan, China, historically significant as a former capital of several Chinese dynasties and a major cultural and economic center.
  • B. Zhengzhou
    Zhengzhou is a major city in central China that serves as the capital of Henan Province and an important national transportation and industrial hub.
  • C. Anyang
    Anyang is an ancient city in northern China renowned as one of the historical capitals of the Shang dynasty and a major archaeological site.
  • D. Baoding
    Baoding is a historic prefecture-level city in central Hebei Province, China, known as a regional transportation hub and former military and administrative center.
  • E. Jinan
    Jinan is the capital city of Shandong Province in eastern China, known for its numerous natural springs and rich historical and 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f33b6d881908b6662b73d6fe833 completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf00f0e08190b90a719952216204 completed March 8, 2026, 12:12 a.m.
Created at: March 1, 2026, 7:36 p.m.