Triple

T4715746
Position Surface form Disambiguated ID Type / Status
Subject Tohoku E104634 entity
Predicate locatedOn P40 FINISHED
Object Honshu E8910 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: Honshu | Statement: [Tohoku, locatedOn, Honshu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honshu
Context triple: [Tohoku, locatedOn, Honshu]
  • A. Honshu chosen
    Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
  • B. 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.
  • C. Hokkaido
    Hokkaido is Japan’s northernmost main island, known for its cold climate, vast natural landscapes, and popular ski resorts.
  • D. Yamato region
    The Yamato region is the early political and cultural heartland of Japan, where the first unified Japanese state emerged under the Yamato court.
  • E. Japanese archipelago
    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.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6408dc5c8190a8d6b1c1a3eba2df completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfabdc5b888190b62b7c56c05f6687 completed March 22, 2026, 8:44 a.m.
Created at: March 20, 2026, 1:18 p.m.