Triple

T2425762
Position Surface form Disambiguated ID Type / Status
Subject Minato, Tokyo, Japan E53522 entity
Predicate contains P35 FINISHED
Object Azabu
Azabu is an upscale residential and entertainment district in central Tokyo known for its embassies, international community, and trendy dining and nightlife.
E405559 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: Azabu | Statement: [Minato, Tokyo, Japan, contains, Azabu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azabu
Context triple: [Minato, Tokyo, Japan, contains, Azabu]
  • A. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • B. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • E. Higashikurume
    Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
  • 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: Azabu
Triple: [Minato, Tokyo, Japan, contains, Azabu]
Generated description
Azabu is an upscale residential and entertainment district in central Tokyo known for its embassies, international community, and trendy dining and nightlife.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Azabu
Target entity description: Azabu is an upscale residential and entertainment district in central Tokyo known for its embassies, international community, and trendy dining and nightlife.
  • A. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • B. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • E. Higashikurume
    Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
  • 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_69b54c0e702081909384b804fb1ade90 completed March 14, 2026, 11:52 a.m.
NEDg Description generation batch_69b54c93863c819099e1a8d5bce2dced completed March 14, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_69b54d853f3881909f6ab8b83ad0e064 completed March 14, 2026, 11:59 a.m.
Created at: March 6, 2026, 9:42 p.m.