Triple

T1742791
Position Surface form Disambiguated ID Type / Status
Subject Tama E38268 entity
Predicate containsAdministrativeUnit P3892 FINISHED
Object Fuchū
Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama region.
 E343330 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: Fuchū | Statement: [Tama, containsAdministrativeUnit, Fuchū]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fuchū
Context triple: [Tama, containsAdministrativeUnit, Fuchū]
  • A. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • B. Akishino
    Akishino is the imperial family name of a branch of Japan’s monarchy, borne by members such as Prince Hisahito and his parents, Crown Prince Fumihito and Crown Princess Kiko.
  • C. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • D. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • E. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • 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: Fuchū
Triple: [Tama, containsAdministrativeUnit, Fuchū]
Generated description
Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fuchū
Target entity description: Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama region.
  • A. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • B. Akishino
    Akishino is the imperial family name of a branch of Japan’s monarchy, borne by members such as Prince Hisahito and his parents, Crown Prince Fumihito and Crown Princess Kiko.
  • C. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • D. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • E. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abaffd9b68819084f6c4d5e1aace1e completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2e7fbc76c8190a66110203d53f055 completed March 12, 2026, 4:21 p.m.
NEDg Description generation batch_69b2e8a5f70c8190a8739c7adb900461 completed March 12, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_69b2e916b5708190b5cba6fa7b434dcb completed March 12, 2026, 4:25 p.m.
Created at: March 4, 2026, 7:30 p.m.