Triple

T14979453
Position Surface form Disambiguated ID Type / Status
Subject Biei E373536 entity
Predicate locatedOnIsland P970 FINISHED
Object Hokkaido E12089 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: Hokkaido | Statement: [Biei, locatedOnIsland, Hokkaido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hokkaido
Context triple: [Biei, locatedOnIsland, Hokkaido]
  • A. Hokkaido chosen
    Hokkaido is Japan’s northernmost main island, known for its cold climate, vast natural landscapes, and popular ski resorts.
  • B. Bihoro, Hokkaido
    Bihoro, Hokkaido is a town in eastern Hokkaido, Japan, known as a gateway to scenic Lake Kussharo and the surrounding Akan–Mashu National Park.
  • C. Rausu, Hokkaido
    Rausu, Hokkaido is a remote town on Japan’s Shiretoko Peninsula known for its rich wildlife, rugged coastal scenery, and access to Shiretoko National Park, a UNESCO World Heritage site.
  • D. 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.
  • E. Akita Prefecture
    Akita Prefecture is a largely rural region in Japan’s Tōhoku area, known for its rice farming, heavy snowfall, hot springs, and traditional festivals such as the Akita Kanto Matsuri.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fcebf481909f72cab577560d82 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff45406c8c8190beb87d4bb5c50355 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 2:51 a.m.