Triple

T4839075
Position Surface form Disambiguated ID Type / Status
Subject Royal Tombs of the Joseon Dynasty E108133 entity
Predicate hasPart P35 FINISHED
Object Heungneung
Heungneung is a royal burial site from Korea’s Joseon Dynasty, recognized as part of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
 E474816 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: Heungneung | Statement: [Royal Tombs of the Joseon Dynasty, hasPart, Heungneung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heungneung
Context triple: [Royal Tombs of the Joseon Dynasty, hasPart, Heungneung]
  • A. Daegu FC
    Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
  • B. Seongnam
    Seongnam is a major satellite city of Seoul in South Korea, known for its planned urban development and role as a residential and commercial hub.
  • C. Incheon United FC
    Incheon United FC is a professional South Korean football club based in the city of Incheon that competes in the K League.
  • D. Daejeon Hana Citizen FC
    Daejeon Hana Citizen FC is a professional South Korean football club based in the city of Daejeon that competes in the K League system.
  • E. Suwon
    Suwon is a major South Korean city best known for its UNESCO-listed Hwaseong Fortress and as a key cultural and economic center just south of Seoul.
  • 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: Heungneung
Triple: [Royal Tombs of the Joseon Dynasty, hasPart, Heungneung]
Generated description
Heungneung is a royal burial site from Korea’s Joseon Dynasty, recognized as part of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heungneung
Target entity description: Heungneung is a royal burial site from Korea’s Joseon Dynasty, recognized as part of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
  • A. Daegu FC
    Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
  • B. Seongnam
    Seongnam is a major satellite city of Seoul in South Korea, known for its planned urban development and role as a residential and commercial hub.
  • C. Incheon United FC
    Incheon United FC is a professional South Korean football club based in the city of Incheon that competes in the K League.
  • D. Daejeon Hana Citizen FC
    Daejeon Hana Citizen FC is a professional South Korean football club based in the city of Daejeon that competes in the K League system.
  • E. Suwon
    Suwon is a major South Korean city best known for its UNESCO-listed Hwaseong Fortress and as a key cultural and economic center just south of Seoul.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce4a5108190aede620d5dde1f81 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cc5861881908ad3838168325a34 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be5ed104e48190b01ea97094be6a96 completed March 21, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_69be5fe07d708190ba0dde4c081e15c6 completed March 21, 2026, 9:07 a.m.
Created at: March 20, 2026, 1:25 p.m.