Triple

T1603464
Position Surface form Disambiguated ID Type / Status
Subject Shinjuku Station E34446 entity
Predicate operator P179 FINISHED
Object Keio Corporation E138695 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: Keio Corporation | Statement: [Shinjuku Station, operator, Keio Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keio Corporation
Context triple: [Shinjuku Station, operator, Keio Corporation]
  • A. Keio Corporation chosen
    Keio Corporation is a major Japanese private railway and transportation company operating rail lines and related services in the Tokyo metropolitan area.
  • B. Tokyu Corporation
    Tokyu Corporation is a major Japanese private railway and real estate company based in Tokyo, known for operating extensive rail networks and developing commercial and residential areas, particularly around Shibuya.
  • C. Yoshimoto Kogyo
    Yoshimoto Kogyo is a major Japanese entertainment conglomerate best known for managing comedians and producing comedy shows, theater, television, and other media.
  • D. Tokyo Tsushin Kogyo
    Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
  • E. Tokyo Tower Co., Ltd.
    Tokyo Tower Co., Ltd. is the company responsible for operating and maintaining Tokyo Tower, one of Japan’s most iconic landmarks and tourist attractions.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9094f96ec819090286c21b3dfddd5 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad608dfc688190a81a502c810f67fb completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:28 p.m.