Triple

T1592243
Position Surface form Disambiguated ID Type / Status
Subject Sumida E34202 entity
Predicate borders P224 FINISHED
Object Arakawa
Arakawa is a special ward in Tokyo, Japan, known for its mix of traditional residential neighborhoods and industrial areas along the Arakawa River.
 E307166 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: Arakawa | Statement: [Sumida, borders, Arakawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arakawa
Context triple: [Sumida, borders, Arakawa]
  • A. Aoyama
    Aoyama is an upscale district in Tokyo known for its high-end fashion boutiques, modern architecture, and trendy cafes and galleries.
  • B. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • C. 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.
  • D. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • E. Fujikawa
    Fujikawa is a Japanese surname borne by various notable individuals, including professional baseball pitcher Kyuji Fujikawa.
  • 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: Arakawa
Triple: [Sumida, borders, Arakawa]
Generated description
Arakawa is a special ward in Tokyo, Japan, known for its mix of traditional residential neighborhoods and industrial areas along the Arakawa River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arakawa
Target entity description: Arakawa is a special ward in Tokyo, Japan, known for its mix of traditional residential neighborhoods and industrial areas along the Arakawa River.
  • A. Aoyama
    Aoyama is an upscale district in Tokyo known for its high-end fashion boutiques, modern architecture, and trendy cafes and galleries.
  • B. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • C. 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.
  • D. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • E. Fujikawa
    Fujikawa is a Japanese surname borne by various notable individuals, including professional baseball pitcher Kyuji Fujikawa.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb2c480008190bb472cfdab74c387 completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b030e23ea081909737f5fd2d3c8dfb completed March 10, 2026, 2:55 p.m.
NEDg Description generation batch_69b03223d4cc8190b8755099ea771fd6 completed March 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69b03437b4d081908c02c01a4dd665b1 completed March 10, 2026, 3:09 p.m.
Created at: March 4, 2026, 7:27 p.m.