Triple
T27740700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AbaBemba |
E701844
|
entity |
| Predicate | majorEthnicStatus |
P101412
|
FINISHED |
| Object | one of the largest ethnic groups in Zambia |
—
|
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: one of the largest ethnic groups in Zambia | Statement: [AbaBemba, majorEthnicStatus, one of the largest ethnic groups in Zambia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorEthnicStatus Context triple: [AbaBemba, majorEthnicStatus, one of the largest ethnic groups in Zambia]
-
A.
hasMajorEthnicCategory
Indicates that an entity is associated with, or classified under, a primary or overarching ethnic category.
-
B.
ethnicGroupStatus
chosen
Indicates the social, legal, or political standing or classification of an ethnic group within a given context.
-
C.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
D.
hasMajorEthnicMinority
Indicates that an entity includes a significant ethnic minority group within its overall population or composition.
-
E.
primaryEthnicFocus
Indicates that something is chiefly oriented toward, concerned with, or designed for a particular ethnic group as its main focus.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 27, 2026, 4:10 p.m.