Triple

T13562047
Position Surface form Disambiguated ID Type / Status
Subject Kaifeng Jews E323931 entity
Predicate traditionalSurnames P17611 FINISHED
Object Jin E83087 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: Jin | Statement: [Kaifeng Jews, traditionalSurnames, Jin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jin
Context triple: [Kaifeng Jews, traditionalSurnames, Jin]
  • A. Jin chosen
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • B. Jin
    Jin is the standard abbreviation used to refer to Shanxi Province in China.
  • C. Jin
    Jin is a common Korean given name used for people of any gender, often meaning "truth," "treasure," or "precious" depending on the hanja used.
  • D. Jin
    Jin is a central character in the animated film "Abominable," accompanying a young girl and a yeti on an adventurous journey from Shanghai to the Himalayas.
  • E. Jang
    Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe99ddc08190a8d79107c8e176fa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75dad601481908de5f266f01f3f49 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.