Triple

T4478973
Position Surface form Disambiguated ID Type / Status
Subject Zenko Suzuki E100079 entity
Predicate cabinet P4825 FINISHED
Object Suzuki Cabinet E5566 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: Suzuki Cabinet | Statement: [Zenko Suzuki, cabinet, Suzuki Cabinet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suzuki Cabinet
Context triple: [Zenko Suzuki, cabinet, Suzuki Cabinet]
  • A. Cabinet of Japan chosen
    The Cabinet of Japan is the country’s chief executive body, composed of the Prime Minister and other ministers who direct national policy and administer the government.
  • B. Suga Cabinet
    The Suga Cabinet was the Japanese government administration led by Prime Minister Yoshihide Suga, in office from September 2020 to October 2021, succeeding Shinzo Abe’s government.
  • C. Kiyosumi-Shirakawa
    Kiyosumi-Shirakawa is a neighborhood in Tokyo’s Kōtō ward known for its traditional shitamachi atmosphere, riverside parks, and growing reputation as a hub for art galleries and specialty coffee shops.
  • D. Mibuchi
    Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
  • E. Kaishintō
    Kaishintō was a prominent Meiji-era Japanese political party advocating constitutional government and liberal reforms.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356db0a008190ad39b68efc095b8d completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62888ea508190a052c0b2edee7fca completed March 15, 2026, 3:33 a.m.
Created at: March 12, 2026, 11:35 p.m.