Triple

T7071104
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Metro Hibiya Line at Kayabacho E164697 entity
Predicate locatedIn P40 FINISHED
Object Kayabacho
Kayabacho is a commercial district in Tokyo's Chūō ward known as a financial hub with dense office buildings and convenient subway access.
 E666494 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: Kayabacho | Statement: [Tokyo Metro Hibiya Line at Kayabacho, locatedIn, Kayabacho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kayabacho
Context triple: [Tokyo Metro Hibiya Line at Kayabacho, locatedIn, Kayabacho]
  • A. Chikushino
    Chikushino is a city in southwestern Japan known as a residential and commercial hub within the Fukuoka metropolitan area.
  • B. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • C. Shikaoi
    Shikaoi is a rural town in Hokkaido, Japan, known for its natural scenery, agriculture, and access to outdoor activities such as hiking and hot springs.
  • D. Kumaiwa
    Kumaiwa is a small settlement located on Butaritari Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • E. Kayabí
    Kayabí is an indigenous Tupi–Guaraní language spoken by the Kayabí people of Brazil.
  • 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: Kayabacho
Triple: [Tokyo Metro Hibiya Line at Kayabacho, locatedIn, Kayabacho]
Generated description
Kayabacho is a commercial district in Tokyo's Chūō ward known as a financial hub with dense office buildings and convenient subway access.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kayabacho
Target entity description: Kayabacho is a commercial district in Tokyo's Chūō ward known as a financial hub with dense office buildings and convenient subway access.
  • A. Chikushino
    Chikushino is a city in southwestern Japan known as a residential and commercial hub within the Fukuoka metropolitan area.
  • B. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • C. Shikaoi
    Shikaoi is a rural town in Hokkaido, Japan, known for its natural scenery, agriculture, and access to outdoor activities such as hiking and hot springs.
  • D. Kumaiwa
    Kumaiwa is a small settlement located on Butaritari Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • E. Kayabí
    Kayabí is an indigenous Tupi–Guaraní language spoken by the Kayabí people of Brazil.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4c862f481908d1faf6ed57774f1 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83423e5008190881a7e956c716687 completed March 28, 2026, 8:03 p.m.
NEDg Description generation batch_69c834b792f081908e9292905e4e0d37 completed March 28, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_69c835d2474081908ec1e93c1ced0b1f completed March 28, 2026, 8:10 p.m.
Created at: March 27, 2026, 2:39 p.m.