Triple

T11588010
Position Surface form Disambiguated ID Type / Status
Subject Meiji-dori E274802 entity
Predicate passesThrough P225 FINISHED
Object Ebisu E29485 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: Ebisu | Statement: [Meiji-dori, passesThrough, Ebisu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebisu
Context triple: [Meiji-dori, passesThrough, Ebisu]
  • A. Ebisu chosen
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • B. Ebisu
    Ebisu is a popular Japanese kami of prosperity, fishermen, and good fortune, often depicted as a cheerful, bearded man holding a fishing rod and sea bream.
  • C. Shiba
    Shiba is a central district in Minato, Tokyo, known for its mix of historic temples, business centers, and residential areas.
  • D. Kurō
    Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
  • E. Hamachō
    Hamachō is a neighborhood in Chūō ward, central Tokyo, known for its mix of residential areas, local businesses, and proximity to the Nihonbashi district.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89463360c8190b91228c46bfe2e5f completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86df14048190ae8f6d8b11610079 completed April 26, 2026, 9:42 p.m.
Created at: April 8, 2026, 9:38 p.m.