Triple
T10541528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Region of Brazil |
E248704
|
entity |
| Predicate | ethnicCompositionFeature |
P65193
|
FINISHED |
| Object | large Indigenous population |
—
|
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: large Indigenous population | Statement: [North Region of Brazil, ethnicCompositionFeature, large Indigenous population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicCompositionFeature Context triple: [North Region of Brazil, ethnicCompositionFeature, large Indigenous population]
-
A.
racialComposition
Indicates the proportional makeup of different racial groups within a given population or entity.
-
B.
dominantEthnicGroups
chosen
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
-
C.
ethnicPluralityOf
Indicates that one ethnic group constitutes the largest share of the population within a given place or entity, though not necessarily an absolute majority.
-
D.
religiousCompositionHistorical
Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
-
E.
ethnicGroupOfCountry
Indicates that a particular ethnic group is associated with, or forms part of the population of, a given country.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a5918648190b16c2d1bc1bf015f |
completed | April 7, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69d4fb9729288190a0149f127acd7ae3 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:32 p.m.