Triple

T15399849
Position Surface form Disambiguated ID Type / Status
Subject Northern Kantō urban area E368282 entity
Predicate hasMajorCity P316 FINISHED
Object Kiryū
Kiryū is a city in Gunma Prefecture, Japan, known historically for its textile industry and traditional silk weaving.
 E1399431 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: Kiryū | Statement: [Northern Kantō urban area, hasMajorCity, Kiryū]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiryū
Context triple: [Northern Kantō urban area, hasMajorCity, Kiryū]
  • A. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • B. Tsuchiura
    Tsuchiura is a city in Ibaraki Prefecture, Japan, known for its location on the shores of Lake Kasumigaura and its annual national fireworks competition.
  • C. Kentōshi
    Kentōshi is a Japanese film (internationally known as "The Emissary") that dramatizes the perilous diplomatic missions sent from Japan to Tang China in ancient times.
  • D. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • E. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • 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: Kiryū
Triple: [Northern Kantō urban area, hasMajorCity, Kiryū]
Generated description
Kiryū is a city in Gunma Prefecture, Japan, known historically for its textile industry and traditional silk weaving.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiryū
Target entity description: Kiryū is a city in Gunma Prefecture, Japan, known historically for its textile industry and traditional silk weaving.
  • A. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • B. Tsuchiura
    Tsuchiura is a city in Ibaraki Prefecture, Japan, known for its location on the shores of Lake Kasumigaura and its annual national fireworks competition.
  • C. Kentōshi
    Kentōshi is a Japanese film (internationally known as "The Emissary") that dramatizes the perilous diplomatic missions sent from Japan to Tang China in ancient times.
  • D. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • E. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8d89e08190b7cae778d89fb5e1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07dba6fd6481909fdfb630a195d57e completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dce009a48190ad0a2bb48e49002a completed May 16, 2026, 2:56 a.m.
NED2 Entity disambiguation (via description) batch_6a07dd57f9548190b6b7e909eccbbfa9 completed May 16, 2026, 2:58 a.m.
Created at: April 10, 2026, 3:19 a.m.