Triple

T20542167
Position Surface form Disambiguated ID Type / Status
Subject Nishi-Hiranuma E504366 entity
Predicate hasPostalSystem P14969 FINISHED
Object Japan Post 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: Japan Post | Statement: [Nishi-Hiranuma, hasPostalSystem, Japan Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan Post
Context triple: [Nishi-Hiranuma, 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. Nihon Sekkei
    Nihon Sekkei is a major Japanese architectural and urban design firm known for large-scale commercial and mixed-use developments.
  • C. 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.
  • D. Nihon Mingeikan
    Nihon Mingeikan is a Tokyo museum dedicated to Japanese folk crafts, showcasing everyday handmade objects central to the mingei (folk art) movement.
  • E. Japan Center
    Japan Center is a prominent Japanese-themed shopping and cultural complex in San Francisco’s Japantown, featuring restaurants, shops, and community events.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a292dd1c8190b5c3031f3b44eb52 completed April 20, 2026, 10:02 p.m.
Created at: April 16, 2026, 11:37 a.m.