Triple

T6104231
Position Surface form Disambiguated ID Type / Status
Subject Chūō, Tokyo, Japan E136076 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Shintomi E536627 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: Shintomi | Statement: [Chūō, Tokyo, Japan, containsAdministrativeTerritorialEntity, Shintomi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shintomi
Context triple: [Chūō, Tokyo, Japan, containsAdministrativeTerritorialEntity, Shintomi]
  • A. Shintomi chosen
    Shintomi is a town in Miyazaki Prefecture on Japan’s Kyushu island, known in part for its proximity to the Japan Air Self-Defense Force’s Nyutabaru Air Base.
  • B. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • C. Otachi
    Otachi is a massive Category IV kaiju from the film "Pacific Rim," known for its powerful tail, acidic spit, and ability to fly during its battle against the Jaeger Gipsy Danger.
  • D. Sugimoto
    Sugimoto is a Japanese surname borne by various notable individuals across fields such as art, sports, and academia.
  • E. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3f8e5481909e85a60aaf319f66 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723a7e26c8190bdd0dd476eac3492 completed March 28, 2026, 12:41 a.m.
Created at: March 22, 2026, 4:13 p.m.