Triple

T6236840
Position Surface form Disambiguated ID Type / Status
Subject central Tokyo E139497 entity
Predicate contains P35 FINISHED
Object Kanda
Kanda is a historic commercial and educational district in central Tokyo known for its bookstores, universities, and traditional shrines.
 E577501 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: Kanda | Statement: [central Tokyo, contains, Kanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kanda
Context triple: [central Tokyo, contains, Kanda]
  • A. Kuneē
    Kuneē is the mythological helmet worn by Hades that grants its wearer invisibility in Greek mythology.
  • B. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • C. Nakanai
    Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
  • D. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • E. Kodaira
    Kodaira is a suburban city in western Tokyo, Japan, known as a residential area with parks, schools, and convenient rail access to central Tokyo.
  • 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: Kanda
Triple: [central Tokyo, contains, Kanda]
Generated description
Kanda is a historic commercial and educational district in central Tokyo known for its bookstores, universities, and traditional shrines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kanda
Target entity description: Kanda is a historic commercial and educational district in central Tokyo known for its bookstores, universities, and traditional shrines.
  • A. Kuneē
    Kuneē is the mythological helmet worn by Hades that grants its wearer invisibility in Greek mythology.
  • B. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • C. Nakanai
    Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
  • D. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • E. Kodaira
    Kodaira is a suburban city in western Tokyo, Japan, known as a residential area with parks, schools, and convenient rail access to central Tokyo.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063021258819093a9237041816638 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dfbf42c8190842a471db4ff3de0 completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c215efd48c81908365f0525cb6e3dc completed March 24, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69c21654dfac8190a5e985d539e2bcb4 completed March 24, 2026, 4:43 a.m.
Created at: March 22, 2026, 4:23 p.m.