Triple

T20688255
Position Surface form Disambiguated ID Type / Status
Subject Onjo of Baekje E508479 entity
Predicate name P16 FINISHED
Object Onjo
Onjo was the founding king of the ancient Korean kingdom of Baekje, traditionally regarded as one of the Three Kingdoms of Korea.
 E1446250 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: Onjo | Statement: [Onjo of Baekje, name, Onjo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Onjo
Context triple: [Onjo of Baekje, name, Onjo]
  • A. Onjong
    Onjong is a town in North Korea notable as the site of early major engagements during the Chinese First Phase Offensive in the Korean War.
  • B. Onin
    Onin is a resident of Haven City, a major urban center in the Jak and Daxter video game series.
  • C. Onieogou
    Onieogou is the surname of Greta Onieogou, a Canadian actress known for her roles in television series such as "All American."
  • D. Taongi
    Taongi is a remote, uninhabited coral atoll in the Marshall Islands known for its rich marine biodiversity and relatively undisturbed natural environment.
  • 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: Onjo
Triple: [Onjo of Baekje, name, Onjo]
Generated description
Onjo was the founding king of the ancient Korean kingdom of Baekje, traditionally regarded as one of the Three Kingdoms of Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Onjo
Target entity description: Onjo was the founding king of the ancient Korean kingdom of Baekje, traditionally regarded as one of the Three Kingdoms of Korea.
  • A. Onjong
    Onjong is a town in North Korea notable as the site of early major engagements during the Chinese First Phase Offensive in the Korean War.
  • B. Onin
    Onin is a resident of Haven City, a major urban center in the Jak and Daxter video game series.
  • C. Onieogou
    Onieogou is the surname of Greta Onieogou, a Canadian actress known for her roles in television series such as "All American."
  • D. Taongi
    Taongi is a remote, uninhabited coral atoll in the Marshall Islands known for its rich marine biodiversity and relatively undisturbed natural environment.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10b7b808190bdb8b08e53168fb8 completed April 21, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7e04b7c8190b49f638fb8ff88c6 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08dbdeb8e48190b8fda90fbd2a1837 completed May 16, 2026, 9:04 p.m.
NED2 Entity disambiguation (via description) batch_6a08dc66bc4081908bdcc559fc777cd3 completed May 16, 2026, 9:06 p.m.
Created at: April 16, 2026, 11:45 a.m.