Triple

T2873677
Position Surface form Disambiguated ID Type / Status
Subject Shibuya City E56823 entity
Predicate railHub P523 FINISHED
Object Daikanyama Station E408700 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: Daikanyama Station | Statement: [Shibuya City, railHub, Daikanyama Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daikanyama Station
Context triple: [Shibuya City, railHub, Daikanyama Station]
  • A. Daikanyama Station chosen
    Daikanyama Station is a railway station in Tokyo’s upscale Daikanyama district, known for serving a fashionable shopping and residential area.
  • B. Tawaramachi Station
    Tawaramachi Station is a subway station on the Tokyo Metro Ginza Line located in the Taitō ward of Tokyo, Japan.
  • C. Nijō Station
    Nijō Station is a railway and subway station in Kyoto, Japan, serving as an interchange between the Kyoto Municipal Subway Tōzai Line and JR West’s Sagano Line near the historic Nijō Castle.
  • D. Takadanobaba Station
    Takadanobaba Station is a major railway hub in Tokyo’s Shinjuku ward, serving multiple lines and providing convenient access to nearby universities and commercial areas.
  • E. Yamashina Station
    Yamashina Station is a major railway and subway hub in Kyoto’s Yamashina Ward, serving multiple lines and providing an important transit connection between central Kyoto and surrounding areas.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0032ddc8190bb4d15ec7e3c63e8 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69c89a4282ac8190aa641d466763b786 completed March 29, 2026, 3:19 a.m.
Created at: March 6, 2026, 10:03 p.m.