Triple

T4595500
Position Surface form Disambiguated ID Type / Status
Subject Hobuck E100193 entity
Predicate hasVariantName P457 FINISHED
Object Hobokan
Hobokan is an alternative name or spelling for the place or entity known as Hobuck.
 E476281 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: Hobokan | Statement: [Hobuck, hasVariantName, Hobokan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hobokan
Context triple: [Hobuck, hasVariantName, Hobokan]
  • A. Hobyo
    Hobyo is a historic coastal town and port on the Indian Ocean in central Somalia, known for its strategic location and role in regional trade.
  • B. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • C. Habikino
    Habikino is a city in Osaka Prefecture, Japan, known for its historic kofun burial mounds and role within the Osaka metropolitan area.
  • D. Hagonoy
    Hagonoy is a coastal municipality in the province of Bulacan in the Philippines, known for its fishing industry and aquaculture.
  • E. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • 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: Hobokan
Triple: [Hobuck, hasVariantName, Hobokan]
Generated description
Hobokan is an alternative name or spelling for the place or entity known as Hobuck.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hobokan
Target entity description: Hobokan is an alternative name or spelling for the place or entity known as Hobuck.
  • A. Hobyo
    Hobyo is a historic coastal town and port on the Indian Ocean in central Somalia, known for its strategic location and role in regional trade.
  • B. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • C. Habikino
    Habikino is a city in Osaka Prefecture, Japan, known for its historic kofun burial mounds and role within the Osaka metropolitan area.
  • D. Hagonoy
    Hagonoy is a coastal municipality in the province of Bulacan in the Philippines, known for its fishing industry and aquaculture.
  • E. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd593f25888190a4f219e4da494764 completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67b3c07481909e4667d42d240c30 completed March 21, 2026, 9:41 a.m.
NEDg Description generation batch_69be6a0c00c081908dc20f88b0d52793 completed March 21, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69be6a57c73c8190b19f51e997423ac8 completed March 21, 2026, 9:52 a.m.
Created at: March 20, 2026, 1:11 p.m.