Triple

T1102241
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Metro Fukutoshin Line E25404 entity
Predicate connectsDistrict P2564 FINISHED
Object Nerima
Nerima is a residential ward in northwestern Tokyo known for its suburban character, parks, and role as a hub for anime production studios.
 E202952 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: Nerima | Statement: [Tokyo Metro Fukutoshin Line, connectsDistrict, Nerima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nerima
Context triple: [Tokyo Metro Fukutoshin Line, connectsDistrict, Nerima]
  • A. Arima
    Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
  • B. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • C. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • D. Nantan
    Nantan is a city in central Kyoto Prefecture, Japan, known for its rural landscapes, forests, and traditional cultural sites.
  • E. Sannomiya
    Sannomiya is a major commercial and transportation hub in central Kobe, Japan, known for its shopping streets, nightlife, and role as the city’s downtown core.
  • 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: Nerima
Triple: [Tokyo Metro Fukutoshin Line, connectsDistrict, Nerima]
Generated description
Nerima is a residential ward in northwestern Tokyo known for its suburban character, parks, and role as a hub for anime production studios.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nerima
Target entity description: Nerima is a residential ward in northwestern Tokyo known for its suburban character, parks, and role as a hub for anime production studios.
  • A. Arima
    Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
  • B. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • C. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • D. Nantan
    Nantan is a city in central Kyoto Prefecture, Japan, known for its rural landscapes, forests, and traditional cultural sites.
  • E. Sannomiya
    Sannomiya is a major commercial and transportation hub in central Kobe, Japan, known for its shopping streets, nightlife, and role as the city’s downtown core.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c21c2c8190a34d91a7afed23a9 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69adbf33c7808190962fb6c2496b4ec7 completed March 8, 2026, 6:25 p.m.
NEDg Description generation batch_69adbff135188190908058a2e2d41a1e completed March 8, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69adc0832cd881909702f380412702d5 completed March 8, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:43 p.m.