Triple
T13367234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest, Belgium |
E318970
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Mariem Meziani
Mariem Meziani is a Belgian politician who serves as the mayor of the municipality of Forest in the Brussels-Capital Region.
|
E1037676
|
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: Mariem Meziani | Statement: [Forest, Belgium, hasMayor, Mariem Meziani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariem Meziani Context triple: [Forest, Belgium, hasMayor, Mariem Meziani]
-
A.
Fatiha Boudjahlat
Fatiha Boudjahlat is a French essayist, teacher, and feminist known for her staunch defense of secularism and republican universalism, particularly in debates on religious symbols and identity politics.
-
B.
Wassila Ben Ammar
Wassila Ben Ammar was a prominent Tunisian political figure and the influential second wife of President Habib Bourguiba.
-
C.
Nadia Bouzidi
Nadia Bouzidi is a French local politician serving as the mayor of the commune of Châtillon.
-
D.
Naïma Kefi
Naïma Kefi is a Tunisian public figure best known as the wife of former Tunisian president Zine El Abidine Ben Ali.
-
E.
Najla Bouden
Najla Bouden is a Tunisian academic and politician who became the country’s first female prime minister and the first woman to hold such a post in the Arab world.
- 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: Mariem Meziani Triple: [Forest, Belgium, hasMayor, Mariem Meziani]
Generated description
Mariem Meziani is a Belgian politician who serves as the mayor of the municipality of Forest in the Brussels-Capital Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mariem Meziani Target entity description: Mariem Meziani is a Belgian politician who serves as the mayor of the municipality of Forest in the Brussels-Capital Region.
-
A.
Fatiha Boudjahlat
Fatiha Boudjahlat is a French essayist, teacher, and feminist known for her staunch defense of secularism and republican universalism, particularly in debates on religious symbols and identity politics.
-
B.
Wassila Ben Ammar
Wassila Ben Ammar was a prominent Tunisian political figure and the influential second wife of President Habib Bourguiba.
-
C.
Nadia Bouzidi
Nadia Bouzidi is a French local politician serving as the mayor of the commune of Châtillon.
-
D.
Naïma Kefi
Naïma Kefi is a Tunisian public figure best known as the wife of former Tunisian president Zine El Abidine Ben Ali.
-
E.
Najla Bouden
Najla Bouden is a Tunisian academic and politician who became the country’s first female prime minister and the first woman to hold such a post in the Arab world.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd652d48190a782fd1f57f34b6a |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72680df088190b8dbcc8ad0d7366e |
completed | May 3, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f727512c94819091985c7942f40b31 |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72b77d650819092c02f6488b2cfb2 |
completed | May 3, 2026, 11:03 a.m. |
Created at: April 9, 2026, 9:32 p.m.