Triple
T8975359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Évry-Courcouronnes |
E214372
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Courcouronnes |
E336078
|
NE FINISHED |
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: Courcouronnes | Statement: [Évry-Courcouronnes, formedByMergerOf, Courcouronnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courcouronnes Context triple: [Évry-Courcouronnes, formedByMergerOf, Courcouronnes]
-
A.
Courcouronnes
chosen
Courcouronnes is a suburban commune in the southern Île-de-France region of France, located in the Essonne department near Paris.
-
B.
Brienne-le-Château
Brienne-le-Château is a commune in northeastern France best known as the town where Napoleon Bonaparte attended military school in his youth.
-
C.
Le Coudray-Montceaux
Le Coudray-Montceaux is a commune in the Île-de-France region of northern France, situated in the Essonne department south of Paris.
-
D.
Orgeval
Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
-
E.
Chevaleret
Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6784d1808190899c980f76084ff8 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc96aa46c81908b95a23fd2b4da57 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:02 p.m.