Triple
T17107678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | باي تونس |
E415142
|
entity |
| Predicate | أُلغي |
P125960
|
FINISHED |
| Object | مع قيام الجمهورية التونسية |
—
|
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: مع قيام الجمهورية التونسية | Statement: [باي تونس, أُلغي, مع قيام الجمهورية التونسية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أُلغي Context triple: [باي تونس, أُلغي, مع قيام الجمهورية التونسية]
-
A.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
B.
حمله
Indicates an aggressive action in which one entity attacks, assaults, or launches an offensive against another.
-
C.
سبب التسمية
Indicates the reason or cause behind assigning a particular name to something.
-
D.
Armisen
Indicates a relationship or action involving someone named Armisen, such as participation, authorship, or association, depending on the specific context in which the predicate is used.
-
E.
المنشأ
Indicates the origin or source from which an entity, action, or relationship arises or is derived.
- F. None of above. chosen
Provenance (4 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc280b0c8190b9e620b90e0d4b40 |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e37542d060819082aa73948eb8ebd4 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:35 a.m.