Triple

T19578269
Position Surface form Disambiguated ID Type / Status
Subject Wanggeom-seong E489918 entity
Predicate associatedWith P37 FINISHED
Object Gija
Gija is a semi-legendary figure in early Korean history, traditionally regarded as a Chinese sage who brought advanced culture and governance to the ancient Korean state of Gojoseon.
 E1383281 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: Gija | Statement: [Wanggeom-seong, associatedWith, Gija]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gija
Context triple: [Wanggeom-seong, associatedWith, Gija]
  • A. Agaja
    Agaja was an 18th-century king of the Kingdom of Dahomey in West Africa, known for expanding the kingdom’s power and centralizing its political and military structures.
  • B. Givan
    Givan is a surname most notably associated with Paul Givan, a Northern Irish politician who has served as First Minister of Northern Ireland.
  • C. Ezida
    Ezida is an ancient Mesopotamian temple complex primarily dedicated to the god Nabu, associated with wisdom and writing.
  • D. Sheshak
    Sheshak is an alternative name for Shishak, the ancient Egyptian pharaoh mentioned in the Hebrew Bible for his campaign against the Kingdom of Judah.
  • E. Gavro
    Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
  • 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: Gija
Triple: [Wanggeom-seong, associatedWith, Gija]
Generated description
Gija is a semi-legendary figure in early Korean history, traditionally regarded as a Chinese sage who brought advanced culture and governance to the ancient Korean state of Gojoseon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gija
Target entity description: Gija is a semi-legendary figure in early Korean history, traditionally regarded as a Chinese sage who brought advanced culture and governance to the ancient Korean state of Gojoseon.
  • A. Agaja
    Agaja was an 18th-century king of the Kingdom of Dahomey in West Africa, known for expanding the kingdom’s power and centralizing its political and military structures.
  • B. Givan
    Givan is a surname most notably associated with Paul Givan, a Northern Irish politician who has served as First Minister of Northern Ireland.
  • C. Ezida
    Ezida is an ancient Mesopotamian temple complex primarily dedicated to the god Nabu, associated with wisdom and writing.
  • D. Sheshak
    Sheshak is an alternative name for Shishak, the ancient Egyptian pharaoh mentioned in the Hebrew Bible for his campaign against the Kingdom of Judah.
  • E. Gavro
    Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402693d88190a828c0e136895783 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075792581881909443cecc6a9212e4 completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a0758be89108190adb2369750eb90ca completed May 15, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_6a07599d4c988190a32a0aa9e561a61d completed May 15, 2026, 5:36 p.m.
Created at: April 10, 2026, 1:42 p.m.