Triple

T10702258
Position Surface form Disambiguated ID Type / Status
Subject Osaka–Kyoto corridor E252304 entity
Predicate containsCity P294 FINISHED
Object Ibaraki E25335 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: Ibaraki | Statement: [Osaka–Kyoto corridor, containsCity, Ibaraki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibaraki
Context triple: [Osaka–Kyoto corridor, containsCity, Ibaraki]
  • A. Ibaraki chosen
    Ibaraki is a city in northern Osaka Prefecture, Japan, known as a residential and industrial hub within the Kansai metropolitan area.
  • B. Ibaraki Prefecture
    Ibaraki Prefecture is a region in eastern Japan known for its agriculture, coastal landscapes, and scientific research centers such as the city of Tsukuba.
  • C. Saitama Prefecture
    Saitama Prefecture is a landlocked administrative region in the Kantō area of Japan, just north of Tokyo, known for its large commuter population, industrial centers, and cultural sites.
  • D. Tochigi Prefecture
    Tochigi Prefecture is a landlocked region in Japan’s Kantō area known for the historic city of Nikkō, natural hot springs, and mountainous scenery.
  • E. Yamagata Prefecture
    Yamagata Prefecture is a largely rural prefecture in Japan’s Tōhoku region, known for its mountains, hot springs, and cherry production.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8c835c8190bf1a67ee94195926 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009181980481908fb49e464aef8734 completed May 10, 2026, 2:09 p.m.
Created at: April 8, 2026, 9:12 p.m.