Triple
T14817436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Dominicans (Dominica) |
E348354
|
entity |
| Predicate | majorAncestry |
P26561
|
FINISHED |
| Object | African |
—
|
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: African | Statement: [Afro-Dominicans (Dominica), majorAncestry, African]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorAncestry Context triple: [Afro-Dominicans (Dominica), majorAncestry, African]
-
A.
majorFamily
Indicates that one entity belongs to or is a primary member of the same family group or lineage as another entity.
-
B.
secondaryAncestry
Indicates a secondary or additional ancestral relationship that an entity has beyond its primary ancestry.
-
C.
typicalAncestryDescription
chosen
Indicates the usual or most common ancestral background associated with an entity.
-
D.
majorCult
Indicates that an entity is a primary or dominant religious cult or cultic tradition within a given context.
-
E.
majorFor
Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:50 a.m.