Triple

T13528227
Position Surface form Disambiguated ID Type / Status
Subject Imari E323065 entity
Predicate associatedWithStyle P8654 FINISHED
Object Kinrande Imari E323065 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: Kinrande Imari | Statement: [Imari, associatedWithStyle, Kinrande Imari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinrande Imari
Context triple: [Imari, associatedWithStyle, Kinrande Imari]
  • A. Imari chosen
    Imari is a Japanese city in Saga Prefecture renowned for its historic porcelain and pottery production, especially Imari ware.
  • B. Hizaori
    Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
  • C. Kushinara
    Kushinara is the ancient name of the Indian city now known as Kushinagar, revered in Buddhism as the place where Gautama Buddha attained parinirvana (final nirvana).
  • D. Shimabukuro
    Shimabukuro is a Japanese surname most notably associated with virtuoso ukulele player Jake Shimabukuro.
  • E. Kamiari-sai
    Kamiari-sai is a major Shinto festival held in Izumo, Japan, during which it is believed that all the gods from across the country gather at Izumo Taisha Shrine for an annual divine assembly.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafb8e0cc8190b47f6aeb8ced470e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d95ce008190a915fe5865c38ee5 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.