Triple
T34294560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lozi kingdom |
E879985
|
entity |
| Predicate | hasNotableCustom |
P50468
|
FINISHED |
| Object | royal barge Nalikwanda in Kuomboka ceremony |
—
|
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: royal barge Nalikwanda in Kuomboka ceremony | Statement: [Lozi kingdom, hasNotableCustom, royal barge Nalikwanda in Kuomboka ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCustom Context triple: [Lozi kingdom, hasNotableCustom, royal barge Nalikwanda in Kuomboka ceremony]
-
A.
haveCustom
Indicates that one entity possesses, uses, or is associated with a non-standard or specially tailored version of another entity.
-
B.
hasNotableFeature
Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
-
C.
hasNotableItem
chosen
Indicates that an entity possesses, contains, or is associated with an item considered notable or significant in some context.
-
D.
hasNotableNative
Indicates that an entity is known for having a notable person, species, or element that originates from or is native to it.
-
E.
hasNotabilityFor
Indicates that an entity is notable, recognized, or significant specifically in relation to a given subject, context, or domain.
- 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_69f349b6df1c81908e5e5b6c2ab6409b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a030c7d03308190a102689db1e8b657 |
completed | May 12, 2026, 11:18 a.m. |
| PD | Predicate disambiguation | batch_6a030a57b16c81909191270f64a77fcf |
completed | May 12, 2026, 11:09 a.m. |
Created at: May 1, 2026, 1:57 a.m.