Triple
T1340549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bambara |
E28452
|
entity |
| Predicate | statusInMali |
P27352
|
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: [Bambara, statusInMali, national language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInMali Context triple: [Bambara, statusInMali, national language]
-
A.
statusInAfghanistan
Indicates the condition, role, or legal standing an entity holds within the context of Afghanistan.
-
B.
statusInEgypt
Indicates the legal, social, or official condition or standing that an entity holds specifically within the context of Egypt.
-
C.
statusInCNMI
Indicates the legal or official status that an entity holds within the Commonwealth of the Northern Mariana Islands (CNMI).
-
D.
statusInIran
Indicates the legal, social, or political standing or condition of an entity specifically within the context of Iran.
-
E.
statusInPakistan
Indicates the legal, social, or operational condition or standing that something or someone has within the context of Pakistan.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c21490488190b4281a16c87677d1 |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c06721488190ac7f6e012f21af3d |
completed | March 1, 2026, 10:40 p.m. |
Created at: March 1, 2026, 7:56 p.m.