Triple

T4347542
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Buganda E97941 entity
Predicate traditionalCouncil P14923 FINISHED
Object Lukiiko
Lukiiko is the traditional legislative council of the Kingdom of Buganda, serving as its main representative and advisory assembly.
E432508 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: Lukiiko | Statement: [Kingdom of Buganda, traditionalCouncil, Lukiiko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lukiiko
Context triple: [Kingdom of Buganda, traditionalCouncil, Lukiiko]
  • A. Lakitu
    Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
  • B. Kiko
    Kiko is a critically acclaimed 1992 studio album by the American rock band Los Lobos, noted for its experimental sound and rich, atmospheric production.
  • C. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • D. Kiko
    Kiko is the Crown Princess of Japan and the wife of Crown Prince Akishino, a prominent member of the Japanese imperial family.
  • E. Lika
    Lika is a mountainous, sparsely populated historical region in central Croatia known for its karst landscapes, forests, and national parks such as Plitvice Lakes.
  • 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: Lukiiko
Triple: [Kingdom of Buganda, traditionalCouncil, Lukiiko]
Generated description
Lukiiko is the traditional legislative council of the Kingdom of Buganda, serving as its main representative and advisory assembly.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lukiiko
Target entity description: Lukiiko is the traditional legislative council of the Kingdom of Buganda, serving as its main representative and advisory assembly.
  • A. Lakitu
    Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
  • B. Kiko
    Kiko is a critically acclaimed 1992 studio album by the American rock band Los Lobos, noted for its experimental sound and rich, atmospheric production.
  • C. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • D. Kiko
    Kiko is the Crown Princess of Japan and the wife of Crown Prince Akishino, a prominent member of the Japanese imperial family.
  • E. Lika
    Lika is a mountainous, sparsely populated historical region in central Croatia known for its karst landscapes, forests, and national parks such as Plitvice Lakes.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351a5559c819081608b0aaf6a0e66 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dba958b88190b1b4efe4274cd060 completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5dc1eedc08190b50b72b59cf1dcf0 completed March 14, 2026, 10:07 p.m.
NED2 Entity disambiguation (via description) batch_69b5dcbf4d5081908d24bce8e2769124 completed March 14, 2026, 10:10 p.m.
Created at: March 12, 2026, 11:15 p.m.