Triple
T37955774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakwa language |
E946857
|
entity |
| Predicate | countryStatusInDemocraticRepublicOfTheCongo |
P18803
|
FINISHED |
| Object | 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: minority language | Statement: [Kakwa language, countryStatusInDemocraticRepublicOfTheCongo, minority language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryStatusInDemocraticRepublicOfTheCongo Context triple: [Kakwa language, countryStatusInDemocraticRepublicOfTheCongo, minority language]
-
A.
primaryStatusInDRC
Indicates the main or most significant status an entity holds within the context of the DRC (Democratic Republic of the Congo).
-
B.
countryStatus
chosen
Indicates the political or legal condition of a country, such as its sovereignty, recognition, or current state in international or domestic contexts.
-
C.
continentStatus
Indicates the status or condition assigned to a continent, such as its current state, classification, or role within a given context.
-
D.
countryWithOfficialStatus
Indicates that a country holds an official, legally recognized status in relation to the referenced entity.
-
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_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.