Triple

T10557493
Position Surface form Disambiguated ID Type / Status
Subject Tadaoka E249125 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: [Tadaoka, hasPostalSystem, Japan Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan Post
Context triple: [Tadaoka, 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. Nisshin
    Nisshin is a suburban city in central Japan known for its residential communities and proximity to Nagoya in Aichi Prefecture.
  • D. 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.
  • E. 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.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5271521a4819086d96e1f183ab07a completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9347ae67081909cb2c3911cb1be67 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:35 p.m.