Triple
T5968221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sousse |
E132805
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Soussa
Soussa is an alternative name for Sousse, a major historic port city on Tunisia’s eastern Mediterranean coast known for its medina and tourism.
|
E558631
|
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: Soussa | Statement: [Sousse, alternativeName, Soussa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soussa Context triple: [Sousse, alternativeName, Soussa]
-
A.
Chenoua
Chenoua is a Berber (Amazigh) language variety spoken by the Chenoua people in northern Algeria.
-
B.
El Haouaria
El Haouaria is a coastal town in northeastern Tunisia known for its strategic location at the tip of the Cap Bon peninsula and its traditional falconry.
-
C.
Youssoufia
Youssoufia is a Moroccan city known for its phosphate mining industry and its location within the Marrakesh-Safi region.
-
D.
Zouerate
Zouerate is an iron-mining town in northern Mauritania that has served as an important industrial center and historical focal point in the Western Sahara conflict.
-
E.
Béja
Béja is a historic city in northwestern Tunisia known for its agricultural importance and Roman-era 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: Soussa Triple: [Sousse, alternativeName, Soussa]
Generated description
Soussa is an alternative name for Sousse, a major historic port city on Tunisia’s eastern Mediterranean coast known for its medina and tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soussa Target entity description: Soussa is an alternative name for Sousse, a major historic port city on Tunisia’s eastern Mediterranean coast known for its medina and tourism.
-
A.
Chenoua
Chenoua is a Berber (Amazigh) language variety spoken by the Chenoua people in northern Algeria.
-
B.
El Haouaria
El Haouaria is a coastal town in northeastern Tunisia known for its strategic location at the tip of the Cap Bon peninsula and its traditional falconry.
-
C.
Youssoufia
Youssoufia is a Moroccan city known for its phosphate mining industry and its location within the Marrakesh-Safi region.
-
D.
Zouerate
Zouerate is an iron-mining town in northern Mauritania that has served as an important industrial center and historical focal point in the Western Sahara conflict.
-
E.
Béja
Béja is a historic city in northwestern Tunisia known for its agricultural importance and Roman-era 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a3f612481908744cb645f2ede1d |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e40506848190843971e772d56054 |
completed | March 23, 2026, 6:56 a.m. |
| NEDg | Description generation | batch_69c0edb0a0808190b2b6f5fc0d7b7913 |
completed | March 23, 2026, 7:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0ee2ffbc88190a256b5cb8a98f382 |
completed | March 23, 2026, 7:39 a.m. |
Created at: March 22, 2026, 4:03 p.m.