Triple
T920435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunisian Revolution |
E19870
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Sousse
Sousse is a major coastal city in eastern Tunisia known for its historic medina, tourism, and role in the country’s modern political events.
|
E132805
|
NE FINISHED |
How this triple was built (4 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: Sousse | Statement: [Tunisian Revolution, location, Sousse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sousse Context triple: [Tunisian Revolution, location, Sousse]
-
A.
Sfax
Sfax is a major port city on Tunisia’s eastern coast, known as an economic hub and a significant center of political activism during the Tunisian Revolution.
-
B.
Tunis
Tunis is the capital and largest city of Tunisia, serving as a major political, economic, and cultural center in the Arab world.
-
C.
Beni Mellal
Beni Mellal is a major city in central Morocco known for its agricultural importance and its location at the foot of the Middle Atlas mountains.
-
D.
Sidi Bouzid
Sidi Bouzid is a town in central Tunisia known as the birthplace of the Arab Spring uprisings that began in late 2010.
-
E.
Marrakesh
Marrakesh is a historic and vibrant city in western Morocco, renowned for its bustling medina, iconic red sandstone architecture, and rich cultural heritage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sousse Triple: [Tunisian Revolution, location, Sousse]
Generated description
Sousse is a major coastal city in eastern Tunisia known for its historic medina, tourism, and role in the country’s modern political events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sousse Target entity description: Sousse is a major coastal city in eastern Tunisia known for its historic medina, tourism, and role in the country’s modern political events.
-
A.
Sfax
Sfax is a major port city on Tunisia’s eastern coast, known as an economic hub and a significant center of political activism during the Tunisian Revolution.
-
B.
Tunis
Tunis is the capital and largest city of Tunisia, serving as a major political, economic, and cultural center in the Arab world.
-
C.
Beni Mellal
Beni Mellal is a major city in central Morocco known for its agricultural importance and its location at the foot of the Middle Atlas mountains.
-
D.
Sidi Bouzid
Sidi Bouzid is a town in central Tunisia known as the birthplace of the Arab Spring uprisings that began in late 2010.
-
E.
Marrakesh
Marrakesh is a historic and vibrant city in western Morocco, renowned for its bustling medina, iconic red sandstone architecture, and rich cultural heritage.
- F. None of above. chosen
Provenance (5 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3120dbc81908362158fe3ffa889 |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6611ad508190aac3a6f15a63bbe8 |
completed | March 7, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69ac66a8430c819088544c91725e57bc |
completed | March 7, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac671d04e48190b839f29511e4cfb5 |
completed | March 7, 2026, 5:57 p.m. |
Created at: March 1, 2026, 7:40 p.m.