Triple
T32838458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | النشيد الوطني الجزائري |
E839898
|
entity |
| Predicate | يُستخدم_كـ |
P2506
|
FINISHED |
| Object | نشيد رسمي في المحافل الدولية |
—
|
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: نشيد رسمي في المحافل الدولية | Statement: [النشيد الوطني الجزائري, يُستخدم_كـ, نشيد رسمي في المحافل الدولية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُستخدم_كـ Context triple: [النشيد الوطني الجزائري, يُستخدم_كـ, نشيد رسمي في المحافل الدولية]
-
A.
используетсяС
Indicates that something is used together with or by means of another entity.
-
B.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
C.
isUsedAs
chosen
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
D.
exportUse
Indicates that something is used, intended, or suitable for export from one place or market to another.
-
E.
usedWith
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:16 a.m.