Triple
T32597653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mossi people |
E833265
|
entity |
| Predicate | populationStatusInBurkinaFaso |
P93889
|
FINISHED |
| Object | largest ethnic group |
—
|
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: largest ethnic group | Statement: [Mossi people, populationStatusInBurkinaFaso, largest ethnic group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationStatusInBurkinaFaso Context triple: [Mossi people, populationStatusInBurkinaFaso, largest ethnic group]
-
A.
populationRankInBurkinaFaso
chosen
Indicates the relative position of an entity in terms of population size compared to other entities within Burkina Faso.
-
B.
statusInBurkinaFaso
Indicates the legal, social, or official condition or standing that an entity has within the context of Burkina Faso.
-
C.
demographicStatusInCoteDIvoire
Indicates the demographic status or classification of an entity within the context of Côte d’Ivoire.
-
D.
populationRankInSenegal
Indicates the relative position of an entity in terms of population size compared to other entities within Senegal.
-
E.
demographicStatusInMauritania
Indicates the demographic status or characteristics of a population specifically within the context of Mauritania.
- 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_69f3492ab63c8190aec24d5003b47c29 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 1, 2026, 1:05 a.m.