Triple

T19530386
Position Surface form Disambiguated ID Type / Status
Subject Hanbok E488638 entity
Predicate hasPart P35 FINISHED
Object jeogori
Jeogori is the traditional Korean upper garment, typically a long-sleeved jacket or blouse, worn as part of the hanbok.
 E1381447 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: jeogori | Statement: [Hanbok, hasPart, jeogori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: jeogori
Context triple: [Hanbok, hasPart, jeogori]
  • A. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • B. JYO
    JYO is the IATA airport code for Leesburg Executive Airport, a public general aviation airport serving Leesburg, Virginia.
  • C. Jejueo
    Jejueo is a Koreanic language variety traditionally spoken on South Korea’s Jeju Island, recognized by many linguists as distinct from standard Korean.
  • D. JOK
    JOK is the standard abbreviation used for Jokerit, a professional ice hockey club based in Helsinki, Finland.
  • E. JE
    JE is the station code used to identify Jean-Drapeau station in the Montreal Metro system.
  • 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: jeogori
Triple: [Hanbok, hasPart, jeogori]
Generated description
Jeogori is the traditional Korean upper garment, typically a long-sleeved jacket or blouse, worn as part of the hanbok.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: jeogori
Target entity description: Jeogori is the traditional Korean upper garment, typically a long-sleeved jacket or blouse, worn as part of the hanbok.
  • A. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • B. JYO
    JYO is the IATA airport code for Leesburg Executive Airport, a public general aviation airport serving Leesburg, Virginia.
  • C. Jejueo
    Jejueo is a Koreanic language variety traditionally spoken on South Korea’s Jeju Island, recognized by many linguists as distinct from standard Korean.
  • D. JOK
    JOK is the standard abbreviation used for Jokerit, a professional ice hockey club based in Helsinki, Finland.
  • E. JE
    JE is the station code used to identify Jean-Drapeau station in the Montreal Metro system.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363ec6cc8190b9e9ac0196b288f9 completed April 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e7b52d88190b0e095ce39d7a003 completed May 15, 2026, 4:48 p.m.
NEDg Description generation batch_6a074f6d79b88190a0b8442af2be0ed1 completed May 15, 2026, 4:53 p.m.
NED2 Entity disambiguation (via description) batch_6a074fed47bc8190b1a78dcc50345ca4 completed May 15, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:41 p.m.