Triple
T9638222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauca Department |
E232989
|
entity |
| Predicate | hasAfroDescendantPopulation |
P27835
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cauca Department, hasAfroDescendantPopulation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAfroDescendantPopulation Context triple: [Cauca Department, hasAfroDescendantPopulation, yes]
-
A.
hasEthnicallyMixedPopulation
Indicates that a population is composed of people from multiple distinct ethnic groups rather than being ethnically homogeneous.
-
B.
wasSlaveDescendant
Indicates that one entity is a descendant of another individual who lived in a condition of slavery.
-
C.
hasEthnicCharacteristic
chosen
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
D.
ethnicSubdivisionOf
Indicates that one ethnic group is a constituent subgroup or branch within a larger, overarching ethnic group.
-
E.
racialComposition
Indicates the proportional makeup of different racial groups within a given population 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b51b08081908e30744607b28953 |
completed | April 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.