Triple

T11077594
Position Surface form Disambiguated ID Type / Status
Subject Nihonbashi Mitsui Tower E261906 entity
Predicate ward P21208 FINISHED
Object Chuo E641309 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: Chuo | Statement: [Nihonbashi Mitsui Tower, ward, Chuo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chuo
Context triple: [Nihonbashi Mitsui Tower, ward, Chuo]
  • A. Chuo chosen
    Chuo is a central ward of Tokyo known as a major commercial and financial district that includes areas like Nihonbashi, Ginza, and Tsukiji.
  • B. Meijō
    Meijō is the Japanese name for Nagoya Castle, a historic and iconic samurai-era fortress in Nagoya, Japan.
  • C. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • D. Chōmin
    Chōmin was the pen name of Nakae Chōmin, a prominent Japanese political theorist, journalist, and early advocate of liberal democracy during the Meiji era.
  • E. Nanzan
    Nanzan was one of the three rival polities on Okinawa Island during the Sanzan period, which was eventually unified into the Ryukyu Kingdom.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7999407288190a901d4a2427a2102 completed April 9, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8d4f22881909fa3d094a19b0a14 completed April 18, 2026, 6:09 p.m.
Created at: April 8, 2026, 9:27 p.m.