Triple
T11457361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Cedza Dlamini |
E271563
|
entity |
| Predicate | typeOfRoyalty |
P44025
|
FINISHED |
| Object | prince |
—
|
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: prince | Statement: [Prince Cedza Dlamini, typeOfRoyalty, prince]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRoyalty Context triple: [Prince Cedza Dlamini, typeOfRoyalty, prince]
-
A.
royaltyRateOnProduction
Indicates the percentage or amount of royalty that must be paid based on the level or value of production.
-
B.
associatedWithRoyalty
chosen
Indicates a relationship in which an entity has a notable connection to royalty, such as through lineage, service, patronage, or symbolic affiliation.
-
C.
commissionType
Indicates the specific kind or category of commission arrangement that applies to a given transaction or relationship.
-
D.
typeOfRight
Indicates the specific category or nature of a right that is held, exercised, or assigned in a given context.
-
E.
typeOfPatronage
Indicates the specific kind or category of support, sponsorship, or backing that one entity provides to another.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.