Triple
T12592260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Saint-Germain-en-Laye |
E300634
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Le Vésinet |
—
|
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: Le Vésinet | Statement: [arrondissement of Saint-Germain-en-Laye, contains, Le Vésinet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Vésinet Context triple: [arrondissement of Saint-Germain-en-Laye, contains, Le Vésinet]
-
A.
Le Vésinet
chosen
Le Vésinet is a suburban town in the western outskirts of Paris, France, known for its landscaped parks, lakes, and villa-style residential character.
-
B.
Étampes
Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
-
C.
Vaucresson
Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
-
D.
Villetaneuse
Villetaneuse is a suburban commune in the northern outskirts of Paris, France, known for its residential character and the presence of the Université Paris 13 campus.
-
E.
Maisons-Laffitte
Maisons-Laffitte is a suburban commune in the Île-de-France region of north-central France, known for its historic château and prominent horse-racing heritage.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cc6d3c81908fbb22601c46f3f7 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 9, 2026, 5:07 p.m.