Triple
T8585725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buganda |
E203300
|
entity |
| Predicate | hasMonarchTitle |
P593
|
FINISHED |
| Object | Kabaka |
E432505
|
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: Kabaka | Statement: [Buganda, hasMonarchTitle, Kabaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabaka Context triple: [Buganda, hasMonarchTitle, Kabaka]
-
A.
Kabaka
chosen
Kabaka is the traditional monarch and cultural leader of the Buganda people in present-day Uganda.
-
B.
Kabaka Yekka
Kabaka Yekka was a monarchist political party in early post-independence Uganda that primarily represented the interests of the Buganda kingdom and its traditional institutions.
-
C.
Pere of Gbaramatu Kingdom
The Pere of Gbaramatu Kingdom is the paramount traditional monarch and cultural custodian of the Gbaramatu Ijaw people in Nigeria’s Niger Delta region.
-
D.
King Glele
King Glele was a 19th-century monarch of the West African Kingdom of Dahomey, known for consolidating its power, expanding its military campaigns, and engaging in complex trade and diplomatic relations with European powers.
-
E.
Sama-Banguingui
Sama-Banguingui is an Austronesian language spoken by the Sama-Banguingui people of the Sulu Archipelago in the southern Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc457ab8b08190a53c730417288deb |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89c3421881908cfecba9a330b9c7 |
completed | April 2, 2026, 3:22 p.m. |
Created at: March 30, 2026, 6:22 p.m.