Triple

T8397055
Position Surface form Disambiguated ID Type / Status
Subject Takenotsuka E198078 entity
Predicate hasPostalSystem P14969 FINISHED
Object Japan Post E174861 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: Japan Post | Statement: [Takenotsuka, hasPostalSystem, Japan Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan Post
Context triple: [Takenotsuka, hasPostalSystem, Japan Post]
  • A. Japan Post chosen
    Japan Post is Japan’s national postal service operator, providing mail delivery, logistics, and related financial services across the country.
  • B. China Post
    China Post is the state-owned postal service of the People's Republic of China, providing nationwide mail, logistics, and related financial services.
  • C. Bank of Japan
    The Bank of Japan is the country's central bank, responsible for issuing currency, implementing monetary policy, and maintaining financial stability in Japan.
  • D. Nihon Supōtsu Shinkō Sentā
    Nihon Supōtsu Shinkō Sentā is Japan’s national agency responsible for promoting sports, managing major sports facilities, and supporting athletic development and infrastructure across the country.
  • E. Japan Mint
    Japan Mint is a Japanese government agency responsible for producing the nation’s coins, medals, and metallic art objects, as well as conducting related metal analysis and certification.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb818893348190a6ea2ff6a2e3e491 completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde867d21c8190b066a6c88273ec5a completed April 2, 2026, 3:54 a.m.
Created at: March 30, 2026, 6:04 p.m.