Triple

T7925620
Position Surface form Disambiguated ID Type / Status
Subject Keio department store E184052 entity
Predicate serves P98 FINISHED
Object Shinjuku district E69504 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: Shinjuku district | Statement: [Keio department store, serves, Shinjuku district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinjuku district
Context triple: [Keio department store, serves, Shinjuku district]
  • A. Shinjuku chosen
    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.
  • B. Shibuya-ku
    Shibuya-ku is a major commercial and entertainment ward in central Tokyo, Japan, known for its bustling shopping districts, nightlife, and the iconic Shibuya Crossing.
  • C. Shibuya
    Shibuya is a major commercial and entertainment district in Tokyo, Japan, famous for its bustling streets, youth culture, and iconic landmarks.
  • 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. Nihonbashi district
    Nihonbashi district is a historic commercial and financial area in central Tokyo known for its traditional merchant roots and role as a major business hub.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aad48908190911905b4635bf01e completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cea7b9d020819091342951d00661f9 completed April 2, 2026, 5:30 p.m.
Created at: March 30, 2026, 5:06 p.m.