Triple
T34028718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dilling language |
E872581
|
entity |
| Predicate | countryOfficialLanguageOfSpeakers |
P136832
|
FINISHED |
| Object | Arabic (Sudan) |
—
|
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: Arabic (Sudan) | Statement: [Dilling language, countryOfficialLanguageOfSpeakers, Arabic (Sudan)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfficialLanguageOfSpeakers Context triple: [Dilling language, countryOfficialLanguageOfSpeakers, Arabic (Sudan)]
-
A.
nationalLanguageSpeakersOf
Indicates that the subject is a language and the object is a country or region where that language is officially recognized as a national language and spoken by its population.
-
B.
countryOfficialLanguageStatus
chosen
Indicates the status or role that a particular language holds as an official language within a given country.
-
C.
nationalLanguageSpoken
Indicates that a particular language is officially recognized and commonly used as a national language within a given country or region.
-
D.
numberOfOfficialLanguagesInCountry
Indicates the total count of officially recognized languages within a given country.
-
E.
idiomasOficiales
Indicates that one or more languages are officially recognized or designated for use by a given entity (such as a country, region, or institution).
- 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_69f349a2527c81909a7cd4bda94d70ad |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a011ee3507081908b42de4278ae0b83 |
completed | May 11, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_6a011e874420819091cac3f08e8aa3f9 |
completed | May 11, 2026, 12:10 a.m. |
Created at: May 1, 2026, 1:51 a.m.