Triple

T20142457
Position Surface form Disambiguated ID Type / Status
Subject Jumong E491209 entity
Predicate alternativeName P39 FINISHED
Object Chumo
Chumo is the legendary founder and first king of the ancient Korean kingdom of Goguryeo, more widely known by the name Jumong.
E1412550 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: Chumo | Statement: [Jumong, alternativeName, Chumo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chumo
Context triple: [Jumong, alternativeName, Chumo]
  • A. Chomu
    Chomu is a historic town in the Indian state of Rajasthan, known for its traditional architecture and cultural heritage.
  • B. Chimaji
    Chimaji was an 18th-century Maratha military leader and younger brother of Peshwa Baji Rao I, known for his campaigns against the Portuguese in western India.
  • C. Bunzo
    Bunzo is the pet belonging to someone named Kumiko, likely a beloved animal companion in their household.
  • D. Chimariko
    Chimariko is an extinct Native American language once spoken by the Chimariko people in northwestern California.
  • E. Tocho
    Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
  • 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: Chumo
Triple: [Jumong, alternativeName, Chumo]
Generated description
Chumo is the legendary founder and first king of the ancient Korean kingdom of Goguryeo, more widely known by the name Jumong.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chumo
Target entity description: Chumo is the legendary founder and first king of the ancient Korean kingdom of Goguryeo, more widely known by the name Jumong.
  • A. Chomu
    Chomu is a historic town in the Indian state of Rajasthan, known for its traditional architecture and cultural heritage.
  • B. Chimaji
    Chimaji was an 18th-century Maratha military leader and younger brother of Peshwa Baji Rao I, known for his campaigns against the Portuguese in western India.
  • C. Bunzo
    Bunzo is the pet belonging to someone named Kumiko, likely a beloved animal companion in their household.
  • D. Chimariko
    Chimariko is an extinct Native American language once spoken by the Chimariko people in northwestern California.
  • E. Tocho
    Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679bcf2c8190ac6e969178d8acde completed April 20, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082de8a0dc8190a4b7ecc580f720f0 completed May 16, 2026, 8:42 a.m.
NEDg Description generation batch_6a082ec3d1348190baa740b2c28af65c completed May 16, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a082f9cf5908190b9b766c70164ee75 completed May 16, 2026, 8:49 a.m.
Created at: April 11, 2026, 11:33 p.m.