Triple
T12602911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luba-Kasai |
E300901
|
entity |
| Predicate | primaryStatusInDRC |
P105651
|
FINISHED |
| Object | national 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 language | Statement: [Luba-Kasai, primaryStatusInDRC, national language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryStatusInDRC Context triple: [Luba-Kasai, primaryStatusInDRC, national language]
-
A.
primaryStatusInUganda
Indicates the primary legal, social, or operational status an entity holds specifically within the context of Uganda.
-
B.
primaryStatus
Indicates the main or most important status assigned to an entity among potentially multiple statuses.
-
C.
statusInBurkinaFaso
Indicates the legal, social, or official condition or standing that an entity has within the context of Burkina Faso.
-
D.
statusInMali
Indicates the legal, social, or official condition or standing that an entity holds within the context of Mali.
-
E.
statusInDominica
Indicates that an entity holds a particular legal, social, or official status within the jurisdiction of Dominica.
- F. None of above. chosen
Provenance (4 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95590a5e08190842b988531cf2921 |
completed | April 10, 2026, 7:54 p.m. |
Created at: April 9, 2026, 5:10 p.m.