Triple
T22479015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isa bin Salman Al Khalifa |
E555710
|
entity |
| Predicate | languageOfCountryRuled |
P111864
|
FINISHED |
| Object | Arabic |
—
|
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 | Statement: [Isa bin Salman Al Khalifa, languageOfCountryRuled, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfCountryRuled Context triple: [Isa bin Salman Al Khalifa, languageOfCountryRuled, Arabic]
-
A.
languageOfPeopleRuled
chosen
Indicates the language spoken by the population governed or ruled by a particular authority or ruler.
-
B.
languageOfRulers
Indicates the language predominantly used or officially adopted by a group of rulers in governing or representing their domain.
-
C.
languageOfDynasty
Indicates the language or languages predominantly used or associated with a particular dynasty.
-
D.
governingCountryLanguage
Indicates that a particular language is officially used or recognized by the governing authorities of a given country.
-
E.
historicallyDominantLanguageOfAdministrationIn
Indicates that a language has historically been the primary language used for official governance and administrative functions within a given place or political 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be653bc8190a2e5c47e38228bfe |
completed | April 29, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.