Triple

T4952843
Position Surface form Disambiguated ID Type / Status
Subject Hsinking E111208 entity
Predicate alternativeName P39 FINISHED
Object Shinkyō
Shinkyō is the Japanese name for Hsinking, the former capital city of the Japanese puppet state Manchukuo in northeastern China during the early 20th century.
 E562390 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: Shinkyō | Statement: [Hsinking, alternativeName, Shinkyō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shinkyō
Context triple: [Hsinking, alternativeName, Shinkyō]
  • A. Keikyū
    Keikyū is a major private railway operator in the Greater Tokyo area of Japan, known for its commuter and airport rail services.
  • B. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Yoiyama
    Yoiyama is the lively evening street festival held before the main Gion Matsuri parade in Kyoto, featuring illuminated festival floats, food stalls, and traditional music.
  • E. Noboribetsu
    Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
  • 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: Shinkyō
Triple: [Hsinking, alternativeName, Shinkyō]
Generated description
Shinkyō is the Japanese name for Hsinking, the former capital city of the Japanese puppet state Manchukuo in northeastern China during the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shinkyō
Target entity description: Shinkyō is the Japanese name for Hsinking, the former capital city of the Japanese puppet state Manchukuo in northeastern China during the early 20th century.
  • A. Keikyū
    Keikyū is a major private railway operator in the Greater Tokyo area of Japan, known for its commuter and airport rail services.
  • B. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Yoiyama
    Yoiyama is the lively evening street festival held before the main Gion Matsuri parade in Kyoto, featuring illuminated festival floats, food stalls, and traditional music.
  • E. Noboribetsu
    Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b82dd88190adfb08c3b3191fe0 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10791159c81909b91cd5beb962e39 completed March 23, 2026, 9:27 a.m.
NEDg Description generation batch_69c109f1ca4c819090da3ac4c9aa8b07 completed March 23, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_69c10a4bb2348190a5f1faf28aecf522 completed March 23, 2026, 9:39 a.m.
Created at: March 20, 2026, 1:31 p.m.