Triple
T36631432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jur Mödö language |
E904327
|
entity |
| Predicate | isLinguisticallyRelatedTo |
P10003
|
FINISHED |
| Object | other Central Sudanic languages |
—
|
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: other Central Sudanic languages | Statement: [Jur Mödö language, isLinguisticallyRelatedTo, other Central Sudanic languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLinguisticallyRelatedTo Context triple: [Jur Mödö language, isLinguisticallyRelatedTo, other Central Sudanic languages]
-
A.
linguisticallyRelatedTo
chosen
Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
-
B.
sharesLinguisticFamilyWith
Indicates that two languages belong to the same linguistic family or branch within a language family.
-
C.
cognateOf
Indicates that two linguistic forms share a common historical origin, typically descending from the same ancestral word.
-
D.
languageFamilyRelation
Indicates a relationship where one language belongs to, descends from, or is otherwise classified within a particular language family.
-
E.
hasLanguageSimilarTo
Indicates that one entity uses or is associated with a language that is similar or closely related to the language used or associated with another entity.
- 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.