Triple

T19850531
Position Surface form Disambiguated ID Type / Status
Subject Kogan E476979 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Kohgan
Kohgan is an alternative transliteration of the name "Kogan," typically referring to the same people, brands, or entities known by that primary spelling.
 E1511369 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: Kohgan | Statement: [Kogan, hasAlternativeTransliteration, Kohgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kohgan
Context triple: [Kogan, hasAlternativeTransliteration, Kohgan]
  • A. Koga
    Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
  • B. Koga
    Koga is a prominent wolf-demon leader and recurring ally-rival character in the anime and manga series Inuyasha.
  • C. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • D. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • E. Kagee
    Kagee is the former name of Chiayi City, a historic urban center in southwestern Taiwan.
  • 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: Kohgan
Triple: [Kogan, hasAlternativeTransliteration, Kohgan]
Generated description
Kohgan is an alternative transliteration of the name "Kogan," typically referring to the same people, brands, or entities known by that primary spelling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kohgan
Target entity description: Kohgan is an alternative transliteration of the name "Kogan," typically referring to the same people, brands, or entities known by that primary spelling.
  • A. Koga
    Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
  • B. Koga
    Koga is a prominent wolf-demon leader and recurring ally-rival character in the anime and manga series Inuyasha.
  • C. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • D. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • E. Kagee
    Kagee is the former name of Chiayi City, a historic urban center in southwestern Taiwan.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65867b5408190bbd12ca567c4705f completed April 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a66ee34e081908c4700097e256e92 completed May 18, 2026, 1:10 a.m.
NEDg Description generation batch_6a0a6ab294148190bb1066ddc7a14335 completed May 18, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0a6b1c2d4081908430dc24a56f22b2 completed May 18, 2026, 1:27 a.m.
Created at: April 10, 2026, 1:51 p.m.