Triple

T14762095
Position Surface form Disambiguated ID Type / Status
Subject Kōtō, Tokyo, Japan E346890 entity
Predicate containsDistrict P22582 FINISHED
Object Toyo
Toyo is a neighborhood and administrative district located within Kōtō Ward in Tokyo, Japan.
 E1118890 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: Toyo | Statement: [Kōtō, Tokyo, Japan, containsDistrict, Toyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toyo
Context triple: [Kōtō, Tokyo, Japan, containsDistrict, Toyo]
  • A. Tōyō
    Tōyō is the given name of Sesshū Tōyō, a renowned Japanese Zen Buddhist monk and master of ink painting during the Muromachi period.
  • B. Toyone
    Toyone is a small rural village in Japan known for its mountainous terrain and forests, located within Aichi Prefecture.
  • C. Yuasa
    Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
  • D. Aoto
    Aoto is a neighborhood in Tokyo, Japan, located within Katsushika Ward and known as a residential and commercial area with convenient rail access.
  • E. Toyoda
    Toyoda is a prominent Japanese surname most famously associated with the founding family of the Toyota Motor Corporation.
  • 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: Toyo
Triple: [Kōtō, Tokyo, Japan, containsDistrict, Toyo]
Generated description
Toyo is a neighborhood and administrative district located within Kōtō Ward in Tokyo, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toyo
Target entity description: Toyo is a neighborhood and administrative district located within Kōtō Ward in Tokyo, Japan.
  • A. Tōyō
    Tōyō is the given name of Sesshū Tōyō, a renowned Japanese Zen Buddhist monk and master of ink painting during the Muromachi period.
  • B. Toyone
    Toyone is a small rural village in Japan known for its mountainous terrain and forests, located within Aichi Prefecture.
  • C. Yuasa
    Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
  • D. Aoto
    Aoto is a neighborhood in Tokyo, Japan, located within Katsushika Ward and known as a residential and commercial area with convenient rail access.
  • E. Toyoda
    Toyoda is a prominent Japanese surname most famously associated with the founding family of the Toyota Motor Corporation.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cf24c0081909221cb7d761e882f completed May 8, 2026, 4:18 p.m.
NEDg Description generation batch_69fe1913f01c8190917992cbcb8f0b62 completed May 8, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_69fe19c36dcc8190a8b3565d6e9cec04 completed May 8, 2026, 5:13 p.m.
Created at: April 10, 2026, 1:30 a.m.