Triple

T16016662
Position Surface form Disambiguated ID Type / Status
Subject 山口那津男 E388484 entity
Predicate 出生地 P1 FINISHED
Object 日本・茨城県水戸市 E184836 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: 日本・茨城県水戸市 | Statement: [山口那津男, 出生地, 日本・茨城県水戸市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 日本・茨城県水戸市
Context triple: [山口那津男, 出生地, 日本・茨城県水戸市]
  • A. Utsunomiya, Tochigi Prefecture, Japan
    Utsunomiya is the capital city of Tochigi Prefecture in Japan, known for its gyoza (dumplings) and as a regional commercial and transportation hub north of Tokyo.
  • B. Nikkō, Tochigi, Japan
    Nikkō, Tochigi, Japan is a historic mountain city famed for its ornate UNESCO-listed shrines and temples, scenic national park, and picturesque waterfalls and hot springs.
  • C. Ibaraki City
    Ibaraki City is a suburban city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • D. Mito, Ibaraki, Japan chosen
    Mito, Ibaraki, Japan is the capital city of Ibaraki Prefecture, known for its historic Kairakuen Garden and cultural significance in the Kantō region.
  • E. Mitaka, Tokyo
    Mitaka, Tokyo is a suburban city in western Tokyo known for its residential neighborhoods, cultural attractions like the Ghibli Museum, and expansive green spaces.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18294f6c48190ab9d3eead268f846 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2a4b0c819094f629c65cf8f880 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.