Triple
T7952590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bemba people |
E184650
|
entity |
| Predicate | populationStatusInZambia |
P9067
|
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: [Bemba people, populationStatusInZambia, one of the largest ethnic groups in Zambia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationStatusInZambia Context triple: [Bemba people, populationStatusInZambia, one of the largest ethnic groups in Zambia]
-
A.
countryStatusInZimbabwe
Indicates the legal or diplomatic status that an entity holds within or in relation to Zimbabwe.
-
B.
statusInZimbabwe
Indicates the legal, social, or official standing or condition that an entity holds within the context of Zimbabwe.
-
C.
hasPopulationStatus
chosen
Indicates the current demographic condition or classification of a population associated with an entity.
-
D.
statusInBotswana
Indicates that an entity has a particular legal, social, or operational status specifically within the context of Botswana.
-
E.
populationCount
Indicates the total number of individuals in a specified group, area, or category.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5e51c88190abcc0534723e3660 |
completed | March 31, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:10 p.m.