Triple
T8585748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buganda |
E203300
|
entity |
| Predicate | numberOfClansApproximate |
P29976
|
FINISHED |
| Object | more than 50 |
—
|
LITERAL 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: more than 50 | Statement: [Buganda, numberOfClansApproximate, more than 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfClansApproximate Context triple: [Buganda, numberOfClansApproximate, more than 50]
-
A.
numberOfClans
chosen
Indicates the count of distinct clans associated with a given entity.
-
B.
numberOfEthnicGroupsRepresented
Indicates the count of distinct ethnic groups that are present or represented in a given context or entity.
-
C.
numberOfColonies
Indicates the count of distinct colonies associated with or possessed by a given entity.
-
D.
membersPerTribe
Indicates the number of individual members associated with each tribe in the relationship.
-
E.
clanType
Indicates the specific category or classification of a clan within a broader clan system or hierarchy.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:22 p.m.