Triple
T11796812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Venezuelans |
E280522
|
entity |
| Predicate | mainRegionsInVenezuela |
P101623
|
FINISHED |
| Object | Caribbean coastal regions |
—
|
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: Caribbean coastal regions | Statement: [Afro-Venezuelans, mainRegionsInVenezuela, Caribbean coastal regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainRegionsInVenezuela Context triple: [Afro-Venezuelans, mainRegionsInVenezuela, Caribbean coastal regions]
-
A.
populationRankInVenezuela
Indicates the relative position of an entity in terms of population size compared to other entities within Venezuela.
-
B.
mainColombianDepartment
Indicates that one entity is the primary administrative department (region) associated with another entity within Colombia.
-
C.
mainProvinces
Indicates that certain provinces are the primary or most significant administrative regions associated with a given entity.
-
D.
membershipStatusOfVenezuela
Indicates the membership status that Venezuela holds within a specified organization or group.
-
E.
positionInColombia
Indicates that one entity occupies or is located at a specific position within the geographic boundaries of Colombia.
- F. None of above. chosen
Provenance (4 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a1cda0819092d66a82fd882786 |
completed | April 10, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:42 p.m.