Triple
T6154756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Sotho people |
E137290
|
entity |
| Predicate | countryCitizenshipMajority |
P14828
|
FINISHED |
| Object | South African citizens |
—
|
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: South African citizens | Statement: [Northern Sotho people, countryCitizenshipMajority, South African citizens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCitizenshipMajority Context triple: [Northern Sotho people, countryCitizenshipMajority, South African citizens]
-
A.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
B.
demographicMajority
Indicates that one group constitutes more than half of the population within a specified context or area.
-
C.
majorityStatusInCountry
chosen
Indicates that an entity holds majority status—such as being the largest or dominant group—within a specified country.
-
D.
citizenshipDistribution
Indicates how citizenship status or national affiliation is distributed across a set of individuals or groups.
-
E.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d01ddb0819085b5f5338b86a25d |
completed | March 22, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.