Triple

T1145994
Position Surface form Disambiguated ID Type / Status
Subject Center Gai E23565 entity
Predicate partOf P40 FINISHED
Object Shibuya entertainment district E208724 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 entertainment district | Statement: [Center Gai, partOf, Shibuya entertainment district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shibuya entertainment district
Context triple: [Center Gai, partOf, Shibuya entertainment district]
  • A. Shibuya chosen
    Shibuya is a major commercial and entertainment district in Tokyo, Japan, famous for its bustling streets, youth culture, and iconic landmarks.
  • B. Roppongi
    Roppongi is a central Tokyo district famous for its vibrant nightlife, international community, and major art and entertainment complexes.
  • C. Akasaka
    Akasaka is a central Tokyo district known for its business centers, upscale hotels, and vibrant nightlife.
  • D. Shinjuku
    Shinjuku is a major commercial and entertainment district in western Tokyo, known for its busy railway station, skyscrapers, shopping, nightlife, and the Tokyo Metropolitan Government Building.
  • E. Shibuya Center-gai
    Shibuya Center-gai is a bustling pedestrian shopping and entertainment street in Tokyo’s Shibuya district, known for its dense concentration of fashion boutiques, restaurants, and youth culture.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc6e8c2081909fb3534413b7aacb completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae7190fb84819095e6ebf2eeb50148 completed March 9, 2026, 7:06 a.m.
Created at: March 1, 2026, 7:44 p.m.