Triple

T7773696
Position Surface form Disambiguated ID Type / Status
Subject Shoto E179135 entity
Predicate partOf P40 FINISHED
Object Shibuya ward E275204 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: Shibuya ward | Statement: [Shoto, partOf, Shibuya ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shibuya ward
Context triple: [Shoto, partOf, Shibuya ward]
  • A. Shibuya-ku chosen
    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.
  • B. Meguro Ward
    Meguro Ward is a residential and commercial district in southwest Tokyo known for its urban neighborhoods, cultural sites, and convenient rail access to central Tokyo.
  • C. Toshima ward
    Toshima ward is a special ward in Tokyo, Japan, known for its major commercial and entertainment hub Ikebukuro and its dense urban residential neighborhoods.
  • D. Itabashi
    Itabashi is a special ward in northern Tokyo, Japan, known as a primarily residential area with a mix of traditional neighborhoods and modern urban infrastructure.
  • E. Sumida ward
    Sumida ward is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its mix of traditional neighborhoods and modern urban development.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70461b3e48190bf1e4d4f9e6bb08e completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca53f2b0b8819090ca8ee3721a9867 completed March 30, 2026, 10:44 a.m.
Created at: March 27, 2026, 4:11 p.m.