Triple

T4702937
Position Surface form Disambiguated ID Type / Status
Subject Lake Kakumanbuchi E104317 entity
Predicate near P350 FINISHED
Object Maebashi, Gunma E289472 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: Maebashi, Gunma | Statement: [Lake Kakumanbuchi, near, Maebashi, Gunma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maebashi, Gunma
Context triple: [Lake Kakumanbuchi, near, Maebashi, Gunma]
  • A. Maebashi chosen
    Maebashi is the capital city of Gunma Prefecture in Japan, known as a regional administrative and commercial center on the Kantō Plain.
  • B. Asaka, Saitama
    Asaka is a suburban city in Saitama Prefecture, Japan, located in the Greater Tokyo metropolitan area and known primarily as a residential and commuter town.
  • C. Maibara
    Maibara is a city in Shiga Prefecture, Japan, known as a regional transportation hub with a Shinkansen station and scenic views of nearby Lake Biwa and surrounding mountains.
  • D. Maizuru
    Maizuru is a coastal city in northern Kyoto Prefecture, Japan, known for its natural harbor, former naval base, and role as a key repatriation port after World War II.
  • E. Neyagawa
    Neyagawa is a city in Osaka Prefecture, Japan, known as a residential and commercial suburb within the Osaka metropolitan area.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63d082088190b7fc61a487d7ef2f completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03cd8cd4819081a7988b5945067f completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:17 p.m.