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.