Triple
T7763436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valleiry |
E176081
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Mohamed Dilmi
Mohamed Dilmi is a French local politician who serves as the mayor of the commune of Valleiry in southeastern France.
|
E687654
|
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: Mohamed Dilmi | Statement: [Valleiry, hasMayor, Mohamed Dilmi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohamed Dilmi Context triple: [Valleiry, hasMayor, Mohamed Dilmi]
-
A.
Mohamed Ennaceur
Mohamed Ennaceur is a Tunisian politician who served as interim President of Tunisia in 2019 following the death of President Beji Caid Essebsi.
-
B.
Karim Kharbouch
Karim Kharbouch is the Moroccan-American rapper, singer, and songwriter better known by his stage name French Montana.
-
C.
Hamadi Jebali
Hamadi Jebali is a Tunisian politician and former prime minister who played a key role in the country’s post-Arab Spring transitional government.
-
D.
Ahmed Boumendjel
Ahmed Boumendjel was an Algerian nationalist leader, lawyer, and politician who played a key role in the political negotiations that led to Algeria’s independence from France.
-
E.
Mohamed Ridouani
Mohamed Ridouani is a Belgian politician who serves as the mayor of the city of Leuven.
- 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: Mohamed Dilmi Triple: [Valleiry, hasMayor, Mohamed Dilmi]
Generated description
Mohamed Dilmi is a French local politician who serves as the mayor of the commune of Valleiry in southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mohamed Dilmi Target entity description: Mohamed Dilmi is a French local politician who serves as the mayor of the commune of Valleiry in southeastern France.
-
A.
Mohamed Ennaceur
Mohamed Ennaceur is a Tunisian politician who served as interim President of Tunisia in 2019 following the death of President Beji Caid Essebsi.
-
B.
Karim Kharbouch
Karim Kharbouch is the Moroccan-American rapper, singer, and songwriter better known by his stage name French Montana.
-
C.
Hamadi Jebali
Hamadi Jebali is a Tunisian politician and former prime minister who played a key role in the country’s post-Arab Spring transitional government.
-
D.
Ahmed Boumendjel
Ahmed Boumendjel was an Algerian nationalist leader, lawyer, and politician who played a key role in the political negotiations that led to Algeria’s independence from France.
-
E.
Mohamed Ridouani
Mohamed Ridouani is a Belgian politician who serves as the mayor of the city of Leuven.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c704061d1881909b5b42bb93d2b8a7 |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7da8b848190b378f694118dfa19 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8d7a51481908fd537dbb57a6116 |
completed | March 29, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c98179908190a68b7f029fff8e3c |
completed | March 29, 2026, 6:41 a.m. |
Created at: March 27, 2026, 4:09 p.m.