Triple

T34726825
Position Surface form Disambiguated ID Type / Status
Subject King Suro of Geumgwan Gaya E1001093 entity
Predicate name P16 FINISHED
Object Suro of Geumgwan Gaya
Suro of Geumgwan Gaya is the legendary founding king of the ancient Korean Gaya confederacy’s Geumgwan state, renowned in Korean history and folklore for establishing its royal lineage.
E2109842 NE FINISHED

How this triple was built (2 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: Suro of Geumgwan Gaya | Statement: [King Suro of Geumgwan Gaya, name, Suro of Geumgwan Gaya]
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: Suro of Geumgwan Gaya
Triple: [King Suro of Geumgwan Gaya, name, Suro of Geumgwan Gaya]
Generated description
Suro of Geumgwan Gaya is the legendary founding king of the ancient Korean Gaya confederacy’s Geumgwan state, renowned in Korean history and folklore for establishing its royal lineage.

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_69f76daeb6e48190a4c9a6b0edc80f72 completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f779a818b48190a67003c2ff4a2923 completed May 3, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a375be9a154819086beb6770fa44ae5 completed June 21, 2026, 3:35 a.m.
NEDg Description generation batch_6a375cce6a748190989f2fffd5341e3c completed June 21, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_6a375d9623888190b8766e4f1a5bd898 completed June 21, 2026, 3:42 a.m.
Created at: May 3, 2026, 3:59 p.m.