Triple
T38488350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bisa |
E917981
|
entity |
| Predicate | countryStatusInBurkinaFaso |
P87839
|
FINISHED |
| Object | national minority language |
—
|
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: national minority language | Statement: [Bisa, countryStatusInBurkinaFaso, national minority language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryStatusInBurkinaFaso Context triple: [Bisa, countryStatusInBurkinaFaso, national minority language]
-
A.
statusInBurkinaFaso
chosen
Indicates the legal, social, or official condition or standing that an entity has within the context of Burkina Faso.
-
B.
populationRankInBurkinaFaso
Indicates the relative position of an entity in terms of population size compared to other entities within Burkina Faso.
-
C.
primaryRegionInBurkinaFaso
Indicates that a region is the main or primary administrative region associated with a given entity within Burkina Faso.
-
D.
SahelCountry
Indicates that a country is geographically located in, or commonly considered part of, the Sahel region of Africa.
-
E.
demographicStatusInCoteDIvoire
Indicates the demographic status or classification of an entity within the context of Côte d’Ivoire.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.