Triple

T21495883
Position Surface form Disambiguated ID Type / Status
Subject Hatano E530350 entity
Predicate category P87 FINISHED
Object Sado, Niigata 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: Sado, Niigata | Statement: [Hatano, category, Sado, Niigata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sado, Niigata
Context triple: [Hatano, category, Sado, Niigata]
  • A. Sado, Niigata chosen
    Sado, Niigata is a large island and former city in the Sea of Japan off Niigata Prefecture, known for its historic gold mines, rich cultural traditions, and scenic coastal landscapes.
  • B. Tsunan, Niigata
    Tsunan, Niigata is a mountainous town in Japan’s Niigata Prefecture known for its heavy snowfall, scenic highland landscapes, and outdoor activities such as skiing and hiking.
  • C. Tokamachi, Niigata
    Tokamachi, Niigata is a city in Niigata Prefecture, Japan, known for its heavy snowfall, traditional Echigo-jofu textiles, and scenic rural landscapes.
  • D. Yoshida, Niigata
    Yoshida, Niigata is a town in Niigata Prefecture, Japan, known as a local administrative and residential center on the coast of the Sea of Japan.
  • E. Yonezawa
    Yonezawa is a city in southern Yamagata Prefecture, Japan, known for its historic castle town, high-quality Yonezawa beef, and snowy climate.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea582d9c8190b95ff6e1b8179b81 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:23 p.m.