Triple

T2466858
Position Surface form Disambiguated ID Type / Status
Subject Sciadopityaceae E55270 entity
Predicate geographicDistribution P2178 FINISHED
Object Honshu, Japan 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, Japan | Statement: [Sciadopityaceae, geographicDistribution, Honshu, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honshu, Japan
Context triple: [Sciadopityaceae, geographicDistribution, Honshu, Japan]
  • A. Honshu chosen
    Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
  • B. Ota, Japan
    Ōta is a special ward in Tokyo, Japan, known for Haneda Airport, its coastal location on Tokyo Bay, and a mix of residential, industrial, and commercial districts.
  • C. 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.
  • D. Onekotan
    Onekotan is a remote volcanic island in Russia's Kuril Islands chain, known for its dramatic caldera lakes and rugged, uninhabited landscape.
  • 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 (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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd13310a8819095fd70672f933aa3 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc62dc38c8190a392c4179a78ae97 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:44 p.m.