Triple

T13688167
Position Surface form Disambiguated ID Type / Status
Subject 大山巌 E328187 entity
Predicate 出身地 P1 FINISHED
Object 薩摩国鹿児島郡加治屋町 E326897 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: 薩摩国鹿児島郡加治屋町 | Statement: [大山巌, 出身地, 薩摩国鹿児島郡加治屋町]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 薩摩国鹿児島郡加治屋町
Context triple: [大山巌, 出身地, 薩摩国鹿児島郡加治屋町]
  • A. Kagoshima, Satsuma Domain, Japan chosen
    Kagoshima, in the former Satsuma Domain of Japan, is a historic southern city on Kyushu known for its samurai heritage and proximity to the active volcano Sakurajima.
  • B. 佐世保市
    佐世保市は、長崎県北部に位置し、米海軍基地やハウステンボスなどで知られる港湾工業都市です。
  • C. Amakusa, Kumamoto Prefecture, Japan
    Amakusa, in Kumamoto Prefecture, Japan, is a remote island city known for its scenic coastal landscapes, historic Christian heritage, and role as a regional transportation hub.
  • D. Ōmura, Nagasaki Prefecture
    Ōmura is a city in Nagasaki Prefecture, Japan, known as a regional transportation hub and industrial center that hosts Nagasaki Airport.
  • E. Setouchi, Kagoshima
    Setouchi, Kagoshima is a coastal town in Japan’s Kagoshima Prefecture, known for its island-dotted seascapes, fishing industry, and role as an administrative center for nearby islands such as Ukejima.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc670968881908e2b4fdf656c7285 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944981ec8190be5ff39b7c2c70ab completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.