Triple

T18313667
Position Surface form Disambiguated ID Type / Status
Subject Jules Brunet E438695 entity
Predicate servedIn P253 FINISHED
Object Hokkaido 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: Hokkaido | Statement: [Jules Brunet, servedIn, Hokkaido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hokkaido
Context triple: [Jules Brunet, servedIn, 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 (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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021b7e2c81908cd3b6684ab899f6 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.