Triple
T33830137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massalit |
E867072
|
entity |
| Predicate | languageStatusInSudan |
P201949
|
FINISHED |
| Object | non-official 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: non-official language | Statement: [Massalit, languageStatusInSudan, non-official language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageStatusInSudan Context triple: [Massalit, languageStatusInSudan, non-official language]
-
A.
administrativeDivisionOfSudan
Indicates that one entity is an official administrative subdivision or territorial unit within the country of Sudan.
-
B.
hasLegalStatusInSudan
Indicates that an entity holds a recognized legal status or standing within the jurisdiction of Sudan.
-
C.
populationRankInSudan
Indicates the relative position of an entity in terms of population size compared to other entities within Sudan.
-
D.
primaryLocationInSudan
Indicates that the primary or main location associated with an entity is situated within the country of Sudan.
-
E.
statusOfArabic
Indicates the current condition, role, or classification assigned to something specifically in the context of Arabic (e.g., language, content, or usage).
- 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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00383e868c819098fd17e25fcbdb04 |
completed | May 10, 2026, 7:48 a.m. |
| PD | Predicate disambiguation | batch_6a0037cc59688190b7b9da939a413db3 |
completed | May 10, 2026, 7:46 a.m. |
| PDg | Predicate description generation | batch_6a00383d83c08190af7bc00f17affd97 |
completed | May 10, 2026, 7:48 a.m. |
Created at: May 1, 2026, 1:46 a.m.