Triple
T17845499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garges-lès-Gonesse |
E445648
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object | Benoît Jimenez |
—
|
NE NERFINISHED |
How this triple was built (2 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: Benoît Jimenez | Statement: [Garges-lès-Gonesse, hasMayor, Benoît Jimenez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benoît Jimenez Context triple: [Garges-lès-Gonesse, hasMayor, Benoît Jimenez]
-
A.
Benoît Jimenez
chosen
Benoît Jimenez is a French local politician who serves as the mayor of the suburban commune of Garges-lès-Gonesse, near Paris.
-
B.
Laurent Mauvignier
Laurent Mauvignier is a contemporary French novelist known for his psychologically intense, formally innovative works that often explore trauma, memory, and social marginalization.
-
C.
Matthieu Sozeau
Matthieu Sozeau is a French computer scientist known for his contributions to the Coq proof assistant and dependent type theory.
-
D.
Nicolas Garnier
Nicolas Garnier is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
-
E.
Renaud Chassaing
Renaud Chassaing is a French cinematographer known for his work on feature films, including the romantic comedy "The First Time."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffa4c648190a88a4b0733493d91 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.