Triple

T305113
Position Surface form Disambiguated ID Type / Status
Subject National Foundation Day E6279 entity
Predicate formerName P65 FINISHED
Object Kigensetsu E39835 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: Kigensetsu | Statement: [National Foundation Day, formerName, Kigensetsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kigensetsu
Context triple: [National Foundation Day, formerName, Kigensetsu]
  • A. Kigensetsu chosen
    Kigensetsu was a pre-World War II Japanese national holiday that celebrated the mythical founding of Japan and the divine origins of the emperor.
  • B. Naikaku Sōri Daijin
    Naikaku Sōri Daijin is the Japanese term for the Prime Minister of Japan, the head of government and chief executive authority in the country’s political system.
  • C. Den Kenjirō
    Den Kenjirō was a Japanese statesman and colonial administrator who served as Governor-General of Taiwan during the period of Japanese rule.
  • D. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • E. Namba Grand Kagetsu
    Namba Grand Kagetsu is a famous comedy theater in Osaka, Japan, known as a central venue for Yoshimoto Kogyo’s manzai and variety performances.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea11c4908190a8723033bdf6f479 completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3bc2353408190b7658595498895bb completed March 1, 2026, 4:10 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.