Triple
T20499681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ملكة الأردن |
E503266
|
entity |
| Predicate | اللغة الرسمية للقب |
P12907
|
FINISHED |
| Object | 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: العربية | Statement: [ملكة الأردن, اللغة الرسمية للقب, العربية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: اللغة الرسمية للقب Context triple: [ملكة الأردن, اللغة الرسمية للقب, العربية]
-
A.
officialLanguageOfTitle
chosen
Indicates that a specified language is the officially designated language associated with a particular title or position.
-
B.
formerOfficialNameLanguage
Indicates the language in which an entity’s former official name was expressed.
-
C.
officialLanguage
Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
-
D.
capitalLanguage
Indicates that the specified language is the primary or official language used in the capital city of a given entity.
-
E.
officialTitleInLanguage
Indicates that an entity’s official title or designation is expressed in a specified language.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cc10cd08190915b6c29c6473f77 |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:35 a.m.