Triple

T1128868
Position Surface form Disambiguated ID Type / Status
Subject Ogasawara Islands E24781 entity
Predicate partOf P40 FINISHED
Object Tokyo Metropolis E5560 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: Tokyo Metropolis | Statement: [Ogasawara Islands, partOf, Tokyo Metropolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo Metropolis
Context triple: [Ogasawara Islands, partOf, Tokyo Metropolis]
  • A. Tokyo Prefecture
    Tokyo Prefecture is Japan’s capital metropolitan region, encompassing the city of Tokyo and serving as the country’s political, economic, and cultural center.
  • B. Shibuya City
    Shibuya City is a major commercial and entertainment district in central Tokyo, Japan, famous for its bustling scramble crossing, youth culture, and fashion scene.
  • C. Yokohama
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • D. Tokyo chosen
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • E. Hachiōji
    Hachiōji is a city in western Tokyo, Japan, known as a regional commercial and educational hub with rich historical sites and access to nearby mountains and nature.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbdea9b88190a88da718bf5c1897 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf3a5cac081908d655e42a58a81c5 completed March 8, 2026, 10:09 p.m.
Created at: March 1, 2026, 7:44 p.m.