Triple

T22139741
Position Surface form Disambiguated ID Type / Status
Subject 陸奥国 E547124 entity
Predicate alternateName P39 FINISHED
Object 陸奥州 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: 陸奥州 | Statement: [陸奥国, alternateName, 陸奥州]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 陸奥州
Context triple: [陸奥国, alternateName, 陸奥州]
  • A. Tohoku chosen
    Tohoku is the northeastern region of Japan’s main island, known for its rural landscapes, harsh winters, and rich traditional culture.
  • B. Aomori Prefecture
    Aomori Prefecture is Japan’s northernmost prefecture on the main island of Honshu, known for its rugged natural landscapes, apple production, and the city of Aomori.
  • C. Hokkaido
    Hokkaido is Japan’s northernmost main island, known for its cold climate, vast natural landscapes, and popular ski resorts.
  • D. 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.
  • E. Aomori
    Aomori is a city in northern Japan known as the capital of Aomori Prefecture and for its Nebuta summer festival, snowy winters, and apple production.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bda1208190b851ae5c68b760e9 completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.