Triple

T15204002
Position Surface form Disambiguated ID Type / Status
Subject Toei Asakusa Line E363338 entity
Predicate servesDistrict P82 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: [Toei Asakusa Line, servesDistrict, Chuo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chuo
Context triple: [Toei Asakusa Line, servesDistrict, 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b693a48190a6230b7b52bc8cd3 completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed33b911c8190815341a342a8d3c8 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:11 a.m.