Triple

T660387
Position Surface form Disambiguated ID Type / Status
Subject Hayabusachō, Chiyoda, Tokyo E11739 entity
Predicate partOf P40 FINISHED
Object Chiyoda ward E70810 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: Chiyoda ward | Statement: [Hayabusachō, Chiyoda, Tokyo, partOf, Chiyoda ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiyoda ward
Context triple: [Hayabusachō, Chiyoda, Tokyo, partOf, Chiyoda ward]
  • A. Chiyoda chosen
    Chiyoda is a central special ward of Tokyo that serves as Japan’s political and administrative hub, housing the Imperial Palace, the National Diet, and many government institutions.
  • B. Shinjuku
    Shinjuku is a major commercial and entertainment district in western Tokyo, known for its busy railway station, skyscrapers, shopping, nightlife, and the Tokyo Metropolitan Government Building.
  • C. Nishi-ku
    Nishi-ku is a central ward of Yokohama, Japan, known as a major commercial and business district that includes the Minato Mirai 21 waterfront area.
  • D. Shinagawa
    Shinagawa is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station, business districts, and waterfront developments.
  • E. Ikebukuro
    Ikebukuro is a major commercial and entertainment district in Tokyo known for its large train station, shopping complexes, and vibrant youth culture.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa83c6081909fb786d1773fa88c completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd46422408190911e6eaec5866fe8 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:36 p.m.