Triple

T7922763
Position Surface form Disambiguated ID Type / Status
Subject Nie Er E183984 entity
Predicate burialPlace P196 FINISHED
Object Fujisawa E945443 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: Fujisawa | Statement: [Nie Er, burialPlace, Fujisawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fujisawa
Context triple: [Nie Er, burialPlace, Fujisawa]
  • A. Fujisawa
    Fujisawa is a Japanese surname borne by various notable individuals in fields such as business, politics, and the arts.
  • B. Fujisawa chosen
    Fujisawa is a coastal city in Kanagawa Prefecture, Japan, known for its beaches, proximity to Enoshima Island, and role as a popular Shōnan resort and commuter hub.
  • C. Akishima
    Akishima is a city in western Tokyo, Japan, known as part of the Tama area and characterized by its residential neighborhoods and light industry.
  • D. Sagamihara
    Sagamihara is a major city in Kanagawa Prefecture, Japan, known as a residential and industrial hub within the Greater Tokyo metropolitan area.
  • E. Moriguchi
    Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aaadd1c8190971f2a6c7636cae4 completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f489b62b808190a3fc89e73e8ae2f7 completed May 1, 2026, 11:08 a.m.
Created at: March 30, 2026, 5:06 p.m.