Triple

T9590160
Position Surface form Disambiguated ID Type / Status
Subject Middle Korean E231395 entity
Predicate writingSystem P454 FINISHED
Object Idu
Idu was a historic Korean writing system that used adapted Chinese characters to represent Korean language elements for administrative and literary purposes.
 E808102 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: Idu | Statement: [Middle Korean, writingSystem, Idu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Idu
Context triple: [Middle Korean, writingSystem, Idu]
  • A. Idu
    Idu is a pioneering Nigerian novel by Flora Nwapa that explores marriage, motherhood, and female autonomy within Igbo society.
  • B. Ijigayehu
    Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
  • C. Idziak
    Idziak is a Polish surname most notably borne by acclaimed cinematographer Sławomir Idziak.
  • D. Idhna
    Idhna is a Palestinian town located in the southern West Bank, west of Hebron, known for its agricultural lands and proximity to the Green Line.
  • E. Ijoid
    Ijoid is a small language family of southern Nigeria that includes the Ijo languages and is often considered a distinct branch within the Niger-Congo phylum.
  • 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: Idu
Triple: [Middle Korean, writingSystem, Idu]
Generated description
Idu was a historic Korean writing system that used adapted Chinese characters to represent Korean language elements for administrative and literary purposes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Idu
Target entity description: Idu was a historic Korean writing system that used adapted Chinese characters to represent Korean language elements for administrative and literary purposes.
  • A. Idu
    Idu is a pioneering Nigerian novel by Flora Nwapa that explores marriage, motherhood, and female autonomy within Igbo society.
  • B. Ijigayehu
    Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
  • C. Idziak
    Idziak is a Polish surname most notably borne by acclaimed cinematographer Sławomir Idziak.
  • D. Idhna
    Idhna is a Palestinian town located in the southern West Bank, west of Hebron, known for its agricultural lands and proximity to the Green Line.
  • E. Ijoid
    Ijoid is a small language family of southern Nigeria that includes the Ijo languages and is often considered a distinct branch within the Niger-Congo phylum.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99f32e688190bb13bccfa5031f16 completed April 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161880adc819090a9be75ba2a1642 completed April 4, 2026, 7:07 p.m.
NEDg Description generation batch_69d161d569b88190a3d77bbe752e0c86 completed April 4, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69d162476bf481909a87057e4fd1dc11 completed April 4, 2026, 7:11 p.m.
Created at: March 30, 2026, 8:06 p.m.