Triple

T12780120
Position Surface form Disambiguated ID Type / Status
Subject Chūō, Tokyo E305484 entity
Predicate contains P35 FINISHED
Object Kachidoki E569187 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: Kachidoki | Statement: [Chūō, Tokyo, contains, Kachidoki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kachidoki
Context triple: [Chūō, Tokyo, contains, Kachidoki]
  • A. Kachidoki chosen
    Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
  • B. Wazuka
    Wazuka is a rural town in Kyoto Prefecture, Japan, renowned for its historic tea fields and high-quality Uji tea production.
  • C. Kinmochi
    Kinmochi is the given name of Prince Saionji Kinmochi, a prominent Japanese statesman and twice prime minister during the Meiji and Taishō periods.
  • D. Okitsu
    Okitsu is a coastal district in Shizuoka, Japan, historically known as a seaside retreat and residence area for prominent political and cultural figures.
  • E. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5a5680819095dcd491486d23e7 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f685030cbc8190856bf5254e231d25 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:29 p.m.