Triple

T2425763
Position Surface form Disambiguated ID Type / Status
Subject Minato, Tokyo, Japan E53522 entity
Predicate contains P35 FINISHED
Object Shiba
Shiba is a central district in Minato, Tokyo, known for its mix of historic temples, business centers, and residential areas.
 E265881 NE FINISHED

How this triple was built (4 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: Shiba | Statement: [Minato, Tokyo, Japan, contains, Shiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shiba
Context triple: [Minato, Tokyo, Japan, contains, Shiba]
  • A. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • B. Akita
    Akita is a city in Japan’s Tōhoku region, serving as the capital of Akita Prefecture and known for its port, rice production, and traditional festivals.
  • C. Kochi Fighting Dogs
    Kochi Fighting Dogs is a Japanese independent professional baseball team based in Kōchi Prefecture that gained international attention when former MLB star Manny Ramirez joined the club.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Sukki
    Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shiba
Triple: [Minato, Tokyo, Japan, contains, Shiba]
Generated description
Shiba is a central district in Minato, Tokyo, known for its mix of historic temples, business centers, and residential areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shiba
Target entity description: Shiba is a central district in Minato, Tokyo, known for its mix of historic temples, business centers, and residential areas.
  • A. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • B. Akita
    Akita is a city in Japan’s Tōhoku region, serving as the capital of Akita Prefecture and known for its port, rice production, and traditional festivals.
  • C. Kochi Fighting Dogs
    Kochi Fighting Dogs is a Japanese independent professional baseball team based in Kōchi Prefecture that gained international attention when former MLB star Manny Ramirez joined the club.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Sukki
    Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • F. None of above. chosen

Provenance (5 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99a773c819092d5f3c297b83887 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf61088481909d79e822e4071456 completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec2e4fee481909704d329ad92f4ad completed March 9, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_69aec39bb6a4819084652814e18f60d4 completed March 9, 2026, 12:56 p.m.
Created at: March 6, 2026, 9:42 p.m.