Triple
T6701185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhodesia |
E152880
|
entity |
| Predicate | majorEthnicGroupGoverned |
P65193
|
FINISHED |
| Object | black African majority |
—
|
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: black African majority | Statement: [Rhodesia, majorEthnicGroupGoverned, black African majority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorEthnicGroupGoverned Context triple: [Rhodesia, majorEthnicGroupGoverned, black African majority]
-
A.
dominantEthnicGroups
chosen
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
-
B.
ethnicGroupOfRulers
Indicates the ethnic group to which the rulers of a given political or territorial entity belong or belonged.
-
C.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
D.
ethnicGroupOfCountry
Indicates that a particular ethnic group is associated with, or forms part of the population of, a given country.
-
E.
numberOfEthnicGroupsRepresented
Indicates the count of distinct ethnic groups that are present or represented in a given context or 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:05 p.m.