Triple
T8565833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nubian languages |
E202798
|
entity |
| Predicate | areToneLanguages |
P83675
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nubian languages, areToneLanguages, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areToneLanguages Context triple: [Nubian languages, areToneLanguages, true]
-
A.
areMinorityLanguagesIn
Indicates that the subject languages are minority (non-dominant) languages within the specified region, country, or larger linguistic context.
-
B.
areAgglutinativeLanguages
Indicates that the related languages primarily form words by stringing together distinct morphemes, each carrying a specific grammatical meaning, in a clear and segmentable way.
-
C.
typicalLanguages
Indicates the languages that are commonly or characteristically used, spoken, or associated with a given entity.
-
D.
isWorkingLanguageOf
Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or context.
-
E.
isSpokenAs
Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d2331881909d92ddde90f580e9 |
completed | March 31, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30e37ac8190b685df36274602b5 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:20 p.m.