Triple
T4132620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bey of Tunis |
E85074
|
entity |
| Predicate | nativeLabel |
P657
|
FINISHED |
| Object | Bey de Tunis |
E415142
|
NE 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: Bey de Tunis | Statement: [Bey of Tunis, nativeLabel, Bey de Tunis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bey de Tunis Context triple: [Bey of Tunis, nativeLabel, Bey de Tunis]
-
A.
Tunis
Tunis is the capital and largest city of Tunisia, serving as a major political, economic, and cultural center in the Arab world.
-
B.
باي تونس
chosen
باي تونس هو اللقب الذي حمله حكّام الإيالة التونسية من الأسرة الحسينية خلال العهد العثماني وما بعده حتى قيام الجمهورية.
-
C.
Mahdia
Mahdia is a historic coastal city in present-day Tunisia that served as the first capital of the Fatimid Caliphate and an important Mediterranean trading and naval center.
-
D.
Tafraoute
Tafraoute is a small, picturesque town in southern Morocco known for its dramatic granite rock formations, traditional Berber culture, and location in the heart of the Anti-Atlas mountains.
-
E.
Nouaceur
Nouaceur is a town and municipality in the Casablanca-Settat region of Morocco, known for hosting Mohammed V International Airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af022f55fc81909f2a1a04d0ea59e6 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb60e9709881909673b8980694902b |
completed | March 19, 2026, 2:35 a.m. |
Created at: March 9, 2026, 3:42 p.m.