Triple

T1283757
Position Surface form Disambiguated ID Type / Status
Subject Hachiko Square E27384 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Shibuya 109 E27330 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 109 | Statement: [Hachiko Square, hasNearbyAttraction, Shibuya 109]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shibuya 109
Context triple: [Hachiko Square, hasNearbyAttraction, Shibuya 109]
  • A. Shibuya 109 chosen
    Shibuya 109 is a famous multi-story fashion shopping mall in Tokyo known as a trendsetting hub for youth and street fashion.
  • B. Shibuya Hikarie
    Shibuya Hikarie is a major high-rise commercial complex in Tokyo known for its shopping, dining, cultural facilities, and direct connection to Shibuya Station.
  • C. Shibuya Mark City
    Shibuya Mark City is a large commercial complex in Tokyo’s Shibuya district, featuring offices, a hotel, and a shopping and dining mall directly connected to Shibuya Station.
  • D. Shibuya Depot
    Shibuya Depot is a Tokyo Metro facility in Shibuya used for the storage, inspection, and maintenance of Ginza Line trains.
  • E. Nipponbashi Den Den Town
    Nipponbashi Den Den Town is Osaka’s main electronics and otaku shopping district, known for its anime, manga, gaming, and hobby stores.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b599ac819096fca9ada294d939 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf221180819082fc982b043d1085 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:50 p.m.