Triple

T19743603
Position Surface form Disambiguated ID Type / Status
Subject 対馬 E474193 entity
Predicate belongsTo P35 FINISHED
Object 日本列島 NE NERFINISHED

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: 日本列島 | Statement: [対馬, belongsTo, 日本列島]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 日本列島
Context triple: [対馬, belongsTo, 日本列島]
  • A. Honshu
    Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
  • B. Japanese archipelago chosen
    The Japanese archipelago is a chain of islands in East Asia that forms the country of Japan, stretching from Hokkaido in the north to Okinawa in the south.
  • C. Japo
    Japo is a small settlement located on Arno Atoll in the Marshall Islands.
  • D. Japan Eirin
    Japan Eirin is Japan’s official film classification and rating organization, responsible for assigning age-appropriate ratings to movies released in the country.
  • E. Kyushu
    Kyushu is the southwesternmost of Japan’s main islands, known for its active volcanoes, hot springs, and historic cities such as Fukuoka and Nagasaki.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65162f0f88190b652fff01ee23090 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.