Triple
T38021827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandla Dlamini |
E948655
|
entity |
| Predicate | hasPossibleEthnicAssociation |
P120284
|
FINISHED |
| Object | Swazi people |
—
|
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: Swazi people | Statement: [Mandla Dlamini, hasPossibleEthnicAssociation, Swazi people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPossibleEthnicAssociation Context triple: [Mandla Dlamini, hasPossibleEthnicAssociation, Swazi people]
-
A.
mayBelongToEthnicGroup
chosen
Indicates that an entity is possibly, but not certainly, a member of a specified ethnic group.
-
B.
hasEthnicCharacteristic
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
C.
hasPossibleEthnicOriginOfSurname
Indicates that a surname is associated with, or can plausibly originate from, a particular ethnic group or ethnicity.
-
D.
hasEthnicScope
Indicates that something is relevant or applicable specifically to a particular ethnic group or ethnic context.
-
E.
hasEthnicInfluence
Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00037bf4148190a58593d30efdd3f8 |
completed | May 10, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_6a0000b7af608190b718fc4111bcdad8 |
completed | May 10, 2026, 3:51 a.m. |
Created at: May 3, 2026, 4:20 p.m.