Triple
T33689477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | رهط |
E863136
|
entity |
| Predicate | اللغة_الرسمية_للسكان |
P98844
|
FINISHED |
| Object | اللغة العربية |
—
|
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: اللغة العربية | Statement: [رهط, اللغة_الرسمية_للسكان, اللغة العربية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: اللغة_الرسمية_للسكان Context triple: [رهط, اللغة_الرسمية_للسكان, اللغة العربية]
-
A.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
B.
nationalLanguageSpoken
chosen
Indicates that a particular language is officially recognized and commonly used as a national language within a given country or region.
-
C.
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.
-
D.
languageOfCitizenship
Indicates the language officially associated with or required for a given citizenship.
-
E.
languageOfOfficialAnnouncements
Indicates the language used for formal or official public announcements issued by an authority.
- 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_69f3498662b48190904442c39df84fb7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:43 a.m.