Triple
T4633138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nabeul Governorate |
E101463
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Takelsa
Takelsa is a coastal town in northeastern Tunisia known for its agriculture and location within the Nabeul region on the Cap Bon peninsula.
|
E459765
|
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: Takelsa | Statement: [Nabeul Governorate, hasCity, Takelsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takelsa Context triple: [Nabeul Governorate, hasCity, Takelsa]
-
A.
Birsay
Birsay is a coastal parish and village area on the northwest of Orkney Mainland in Scotland, known for its rich Norse history and archaeological sites.
-
B.
Anseba
Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
-
C.
Wukro
Wukro is a town in northern Ethiopia known for its historic rock-hewn churches and its location along the main road in the Tigray Region.
-
D.
Barawa
Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
-
E.
Dahlak Kebir
Dahlak Kebir is the largest island of Eritrea’s Dahlak Archipelago in the Red Sea, known for its rich marine life, coral reefs, and historical significance as a trading and fishing hub.
- 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: Takelsa Triple: [Nabeul Governorate, hasCity, Takelsa]
Generated description
Takelsa is a coastal town in northeastern Tunisia known for its agriculture and location within the Nabeul region on the Cap Bon peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Takelsa Target entity description: Takelsa is a coastal town in northeastern Tunisia known for its agriculture and location within the Nabeul region on the Cap Bon peninsula.
-
A.
Birsay
Birsay is a coastal parish and village area on the northwest of Orkney Mainland in Scotland, known for its rich Norse history and archaeological sites.
-
B.
Anseba
Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
-
C.
Wukro
Wukro is a town in northern Ethiopia known for its historic rock-hewn churches and its location along the main road in the Tigray Region.
-
D.
Barawa
Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
-
E.
Dahlak Kebir
Dahlak Kebir is the largest island of Eritrea’s Dahlak Archipelago in the Red Sea, known for its rich marine life, coral reefs, and historical significance as a trading and fishing hub.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a5d0de881909baacc5b991f5b53 |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0368d2748190bc8560ecb16e1997 |
completed | March 21, 2026, 2:33 a.m. |
| NEDg | Description generation | batch_69be042adb8c8190b6889c3a5b9c18cc |
completed | March 21, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be048f7d7881908ab19bd37c92b423 |
completed | March 21, 2026, 2:38 a.m. |
Created at: March 20, 2026, 1:13 p.m.