Triple
T21362391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleury-Mérogis |
E526815
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object | Olivier Corzani |
—
|
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: Olivier Corzani | Statement: [Fleury-Mérogis, hasMayor, Olivier Corzani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivier Corzani Context triple: [Fleury-Mérogis, hasMayor, Olivier Corzani]
-
A.
Olivier Corzani
chosen
Olivier Corzani is a French local politician who serves as the mayor of the commune of Morangis.
-
B.
Olivier Bousquet
Olivier Bousquet is a French computer scientist and machine learning researcher known for his work on statistical learning theory and his leadership roles in industry AI research.
-
C.
Christophe Fouquet
Christophe Fouquet is a French business executive and semiconductor industry leader who serves as the chief executive officer of Dutch lithography equipment manufacturer ASML.
-
D.
Arnaud Decagny
Arnaud Decagny is a French local politician who serves as the mayor of the northern town of Maubeuge.
-
E.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06b219c81908f7674ae459e7931 |
completed | April 22, 2026, 11:26 a.m. |
Created at: April 16, 2026, 5:08 p.m.