Triple
T17252387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahdia Governorate |
E418787
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Melloulèche
Melloulèche is a coastal town in eastern Tunisia known for its fishing activities and location within the Mahdia region.
|
E1259056
|
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: Melloulèche | Statement: [Mahdia Governorate, contains, Melloulèche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melloulèche Context triple: [Mahdia Governorate, contains, Melloulèche]
-
A.
Cheneux
Cheneux is a small village in the municipality of Stoumont in the province of Liège, Belgium, known for its rural setting and World War II history.
-
B.
Moulinois
Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
-
C.
Pertuis
Pertuis is a commune in southeastern France’s Vaucluse department, known as a gateway to the Luberon region and part of the Aix-en-Provence urban area.
-
D.
Tournelle
Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
-
E.
Aigues-Mortais
Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
- 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: Melloulèche Triple: [Mahdia Governorate, contains, Melloulèche]
Generated description
Melloulèche is a coastal town in eastern Tunisia known for its fishing activities and location within the Mahdia region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melloulèche Target entity description: Melloulèche is a coastal town in eastern Tunisia known for its fishing activities and location within the Mahdia region.
-
A.
Cheneux
Cheneux is a small village in the municipality of Stoumont in the province of Liège, Belgium, known for its rural setting and World War II history.
-
B.
Moulinois
Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
-
C.
Pertuis
Pertuis is a commune in southeastern France’s Vaucluse department, known as a gateway to the Luberon region and part of the Aix-en-Provence urban area.
-
D.
Tournelle
Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
-
E.
Aigues-Mortais
Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
- 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_69e42e6a1b648190a8bb2deb67bbdfdc |
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.