Triple

T6104241
Position Surface form Disambiguated ID Type / Status
Subject Chūō, Tokyo, Japan E136076 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Irifune
Irifune is a district within Tokyo's Chūō ward, known for its mix of residential buildings and commercial facilities in central Tokyo, Japan.
E577309 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: Irifune | Statement: [Chūō, Tokyo, Japan, containsAdministrativeTerritorialEntity, Irifune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irifune
Context triple: [Chūō, Tokyo, Japan, containsAdministrativeTerritorialEntity, Irifune]
  • A. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • B. Ibuki
    Ibuki is the nickname of Japan’s Greenhouse Gases Observing Satellite (GOSAT), an Earth observation mission dedicated to monitoring global greenhouse gas concentrations from space.
  • C. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • D. Takamori
    Takamori is the given name of Saigō Takamori, a prominent 19th-century Japanese samurai and political figure often called the "last true samurai."
  • E. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • 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: Irifune
Triple: [Chūō, Tokyo, Japan, containsAdministrativeTerritorialEntity, Irifune]
Generated description
Irifune is a district within Tokyo's Chūō ward, known for its mix of residential buildings and commercial facilities in central Tokyo, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Irifune
Target entity description: Irifune is a district within Tokyo's Chūō ward, known for its mix of residential buildings and commercial facilities in central Tokyo, Japan.
  • A. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • B. Ibuki
    Ibuki is the nickname of Japan’s Greenhouse Gases Observing Satellite (GOSAT), an Earth observation mission dedicated to monitoring global greenhouse gas concentrations from space.
  • C. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • D. Takamori
    Takamori is the given name of Saigō Takamori, a prominent 19th-century Japanese samurai and political figure often called the "last true samurai."
  • E. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3f8e5481909e85a60aaf319f66 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d56f234819082d89a755ae5a446 completed March 24, 2026, 4:04 a.m.
NEDg Description generation batch_69c216517d2c8190bf242c2e19bf5dd0 completed March 24, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69c216bdd3ac819087458b76791eebfa completed March 24, 2026, 4:44 a.m.
Created at: March 22, 2026, 4:13 p.m.