Triple
T17252379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahdia Governorate |
E418787
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Chebba
Chebba is a coastal town in eastern Tunisia known for its fishing activities and Mediterranean beaches.
|
E1259050
|
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: Chebba | Statement: [Mahdia Governorate, contains, Chebba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chebba Context triple: [Mahdia Governorate, contains, Chebba]
-
A.
Bhamdoun
Bhamdoun is a Lebanese mountain town and popular summer resort known for its scenic views, cool climate, and historic role as a holiday destination near Beirut.
-
B.
Bou Regreg
Bou Regreg is a river in western Morocco that flows between the cities of Rabat and Salé before emptying into the Atlantic Ocean.
-
C.
Jezzine
Jezzine is a town in southern Lebanon known for its strategic hilltop location, historic significance, and surrounding pine forests and waterfalls.
-
D.
El Khabouzia
El Khabouzia is a town and commune located in Bouira Province in northern Algeria.
-
E.
Ifrane
Ifrane is a Moroccan mountain town in the Middle Atlas known for its alpine-style architecture, cool climate, and reputation as one of the country’s cleanest and most picturesque cities.
- 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: Chebba Triple: [Mahdia Governorate, contains, Chebba]
Generated description
Chebba is a coastal town in eastern Tunisia known for its fishing activities and Mediterranean beaches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chebba Target entity description: Chebba is a coastal town in eastern Tunisia known for its fishing activities and Mediterranean beaches.
-
A.
Bhamdoun
Bhamdoun is a Lebanese mountain town and popular summer resort known for its scenic views, cool climate, and historic role as a holiday destination near Beirut.
-
B.
Bou Regreg
Bou Regreg is a river in western Morocco that flows between the cities of Rabat and Salé before emptying into the Atlantic Ocean.
-
C.
Jezzine
Jezzine is a town in southern Lebanon known for its strategic hilltop location, historic significance, and surrounding pine forests and waterfalls.
-
D.
El Khabouzia
El Khabouzia is a town and commune located in Bouira Province in northern Algeria.
-
E.
Ifrane
Ifrane is a Moroccan mountain town in the Middle Atlas known for its alpine-style architecture, cool climate, and reputation as one of the country’s cleanest and most picturesque cities.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e694f788190a1c86e95264ed2fe |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170fb89248190ae431ce51dfeaffd |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a017258cb9c8190baa828104d30fdbf |
completed | May 11, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017620d2d8819099292be7bc4db4df |
completed | May 11, 2026, 6:24 a.m. |
Created at: April 10, 2026, 5:39 a.m.