Triple

T15203334
Position Surface form Disambiguated ID Type / Status
Subject Eifukuchō Station E363320 entity
Predicate hasAddressComponent P45702 FINISHED
Object Eifuku
Eifuku is a neighborhood in Suginami, Tokyo, Japan, known primarily as the area served by Eifukuchō Station.
 E1147805 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: Eifuku | Statement: [Eifukuchō Station, hasAddressComponent, Eifuku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eifuku
Context triple: [Eifukuchō Station, hasAddressComponent, Eifuku]
  • A. Fuwa
    Fuwa are the five official mascots of the 2008 Beijing Olympic Games, each representing a different color of the Olympic rings and elements of Chinese culture and symbolism.
  • B. Eikyū
    Eikyū was a Japanese era name (nengō) of the early 12th century, used during the reign of Emperor Toba.
  • C. Keikyū
    Keikyū is a major private railway operator in the Greater Tokyo area of Japan, known for its commuter and airport rail services.
  • D. Noboribetsu
    Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
  • E. Hakutaka
    Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
  • 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: Eifuku
Triple: [Eifukuchō Station, hasAddressComponent, Eifuku]
Generated description
Eifuku is a neighborhood in Suginami, Tokyo, Japan, known primarily as the area served by Eifukuchō Station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eifuku
Target entity description: Eifuku is a neighborhood in Suginami, Tokyo, Japan, known primarily as the area served by Eifukuchō Station.
  • A. Fuwa
    Fuwa are the five official mascots of the 2008 Beijing Olympic Games, each representing a different color of the Olympic rings and elements of Chinese culture and symbolism.
  • B. Eikyū
    Eikyū was a Japanese era name (nengō) of the early 12th century, used during the reign of Emperor Toba.
  • C. Keikyū
    Keikyū is a major private railway operator in the Greater Tokyo area of Japan, known for its commuter and airport rail services.
  • D. Noboribetsu
    Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
  • E. Hakutaka
    Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b693a48190a6230b7b52bc8cd3 completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef687bdc819090ec8a4e1af9f422 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef036896c8190b9dd8a87198f3783 completed May 9, 2026, 8:28 a.m.
NED2 Entity disambiguation (via description) batch_69fef0f651548190a965559aa93d4b54 completed May 9, 2026, 8:31 a.m.
Created at: April 10, 2026, 3:10 a.m.