Triple
T2881732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Barbadians |
E59411
|
entity |
| Predicate | majorityStatusInBarbados |
P14828
|
FINISHED |
| Object | ethnic 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: ethnic majority | Statement: [Afro-Barbadians, majorityStatusInBarbados, ethnic majority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorityStatusInBarbados Context triple: [Afro-Barbadians, majorityStatusInBarbados, ethnic majority]
-
A.
majorityStatusInCountry
chosen
Indicates that an entity holds majority status—such as being the largest or dominant group—within a specified country.
-
B.
hasMajority
Indicates that one entity holds more than half of the total share, control, or quantity in relation to another entity or set.
-
C.
majorityType
Indicates that one type or category constitutes more than half of the instances within a given set or context.
-
D.
hasMajorityOf
Indicates that one entity possesses or controls more than half of the total quantity, members, or share of another entity.
-
E.
hasMajorityIn
Indicates that one entity holds more than half of the control, ownership, or representation within another entity or group.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02aa5948190a2e0bd9168232bd5 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.