Triple

T6508594
Position Surface form Disambiguated ID Type / Status
Subject Korea Aerospace Research Institute E150071 entity
Predicate developed P73 FINISHED
Object Nuri
Nuri is South Korea’s domestically developed three-stage orbital launch vehicle designed to place satellites into low Earth orbit.
 E601924 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: Nuri | Statement: [Korea Aerospace Research Institute, developed, Nuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nuri
Context triple: [Korea Aerospace Research Institute, developed, Nuri]
  • A. Nuri
    Nuri is an ancient archaeological site in northern Sudan that served as a royal necropolis for Nubian kings and queens, featuring a significant concentration of Kushite pyramids.
  • B. Ziya
    Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
  • C. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • D. Shawar
    Shawar was a 12th-century vizier of the Fatimid Caliphate in Egypt, known for his turbulent rule and role in the conflicts that devastated Fustat.
  • E. Burak
    Burak is a masculine given name of Turkish origin, commonly used in Turkey and among Turkish-speaking communities.
  • 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: Nuri
Triple: [Korea Aerospace Research Institute, developed, Nuri]
Generated description
Nuri is South Korea’s domestically developed three-stage orbital launch vehicle designed to place satellites into low Earth orbit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nuri
Target entity description: Nuri is South Korea’s domestically developed three-stage orbital launch vehicle designed to place satellites into low Earth orbit.
  • A. Nuri
    Nuri is an ancient archaeological site in northern Sudan that served as a royal necropolis for Nubian kings and queens, featuring a significant concentration of Kushite pyramids.
  • B. Ziya
    Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
  • C. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • D. Shawar
    Shawar was a 12th-century vizier of the Fatimid Caliphate in Egypt, known for his turbulent rule and role in the conflicts that devastated Fustat.
  • E. Burak
    Burak is a masculine given name of Turkish origin, commonly used in Turkey and among Turkish-speaking communities.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c699693d94819088e8adff364e834a completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb519b8081908db92ab57ad6e871 completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cd049fac81908c955caa0ccac5ba completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce00096c8190a3015bcd392e0ce4 completed March 27, 2026, 6:35 p.m.
Created at: March 27, 2026, 1:43 p.m.