Triple

T6236853
Position Surface form Disambiguated ID Type / Status
Subject central Tokyo E139497 entity
Predicate contains P35 FINISHED
Object Kasumigaseki E180115 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: Kasumigaseki | Statement: [central Tokyo, contains, Kasumigaseki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kasumigaseki
Context triple: [central Tokyo, contains, Kasumigaseki]
  • A. Kasumigaseki chosen
    Kasumigaseki is a central district in Tokyo known as Japan’s main government and bureaucratic hub, housing numerous national ministries and agencies.
  • B. Sumoto
    Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
  • C. Nakanoshima
    Nakanoshima is a small Japanese island associated with Etajima in Hiroshima Prefecture, known for its coastal scenery and role within the local island group.
  • D. Ryūjō
    Ryūjō was a light aircraft carrier of the Imperial Japanese Navy that served in the early years of World War II before being sunk during the Battle of the Eastern Solomons in 1942.
  • E. Kichijōji
    Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063021258819093a9237041816638 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6856cef008190bf01118eb6be8c14 completed March 27, 2026, 1:26 p.m.
Created at: March 22, 2026, 4:23 p.m.