Triple
T29353714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kassanda District |
E744380
|
entity |
| Predicate | isInKingdom |
P20193
|
FINISHED |
| Object | Buganda |
—
|
NE NERFINISHED |
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: Buganda | Statement: [Kassanda District, isInKingdom, Buganda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInKingdom Context triple: [Kassanda District, isInKingdom, Buganda]
-
A.
hasViewOfKingdom
Indicates that an entity has a vantage point from which it can see or overlook a kingdom.
-
B.
recognizedAsKingdom
Indicates that an entity is formally acknowledged or classified as a kingdom within a given system or context.
-
C.
mentionsKingdom
Indicates that one entity explicitly refers to or brings up the topic of a kingdom in relation to another entity.
-
D.
kingdomsIncluded
Indicates that one or more kingdoms are contained within, or form part of, a larger political or territorial entity.
-
E.
kingdomAssociatedWith
chosen
Indicates a relationship where something is connected or related to a particular kingdom, such as belonging to, originating from, or being governed by that kingdom.
- F. None of above.
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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6695de4b08190983486979828acf7 |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:08 p.m.