Triple

T20646023
Position Surface form Disambiguated ID Type / Status
Subject Gyeongguk Daejeon E507357 entity
Predicate predecessor P97 FINISHED
Object Sokdaejeon
Sokdaejeon was an earlier Joseon Dynasty legal code that laid the groundwork for the later, more comprehensive Gyeongguk Daejeon.
E1481271 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: Sokdaejeon | Statement: [Gyeongguk Daejeon, predecessor, Sokdaejeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sokdaejeon
Context triple: [Gyeongguk Daejeon, predecessor, Sokdaejeon]
  • A. Seodaejeon-yeok
    Seodaejeon-yeok is a major railway station in Daejeon, South Korea, serving regional and high-speed train services on key national lines.
  • B. Daejonggyo
    Daejonggyo is a modern Korean ethnic religion that venerates the legendary founder Dangun as a divine ancestor and centers on Korean national identity and spiritual heritage.
  • C. Yeongdodaegyo
    Yeongdodaegyo is a bascule bridge in Busan, South Korea, known as the city’s first mainland–island bridge and a local historical landmark.
  • D. Sanggyeong
    Sanggyeong was the principal royal capital city of the Balhae kingdom, serving as its political and cultural center in Northeast Asia.
  • E. Taejongdae
    Taejongdae is a famous coastal park in Busan, South Korea, known for its dramatic seaside cliffs, dense pine forests, and panoramic ocean views.
  • 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: Sokdaejeon
Triple: [Gyeongguk Daejeon, predecessor, Sokdaejeon]
Generated description
Sokdaejeon was an earlier Joseon Dynasty legal code that laid the groundwork for the later, more comprehensive Gyeongguk Daejeon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sokdaejeon
Target entity description: Sokdaejeon was an earlier Joseon Dynasty legal code that laid the groundwork for the later, more comprehensive Gyeongguk Daejeon.
  • A. Seodaejeon-yeok
    Seodaejeon-yeok is a major railway station in Daejeon, South Korea, serving regional and high-speed train services on key national lines.
  • B. Daejonggyo
    Daejonggyo is a modern Korean ethnic religion that venerates the legendary founder Dangun as a divine ancestor and centers on Korean national identity and spiritual heritage.
  • C. Yeongdodaegyo
    Yeongdodaegyo is a bascule bridge in Busan, South Korea, known as the city’s first mainland–island bridge and a local historical landmark.
  • D. Sanggyeong
    Sanggyeong was the principal royal capital city of the Balhae kingdom, serving as its political and cultural center in Northeast Asia.
  • E. Taejongdae
    Taejongdae is a famous coastal park in Busan, South Korea, known for its dramatic seaside cliffs, dense pine forests, and panoramic ocean views.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1eee9c81908fd3b4fe8c4529c8 completed April 20, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09b409caac819085163e0d2dc3a020 completed May 17, 2026, 12:26 p.m.
NEDg Description generation batch_6a09b5e6d1ac8190aeec88859d17d257 completed May 17, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_6a09b699fef081909797a5fc50814cb9 completed May 17, 2026, 12:37 p.m.
Created at: April 16, 2026, 11:43 a.m.