Triple
T11325114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serris |
E268191
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Val d'Europe |
E670608
|
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: Val d'Europe | Statement: [Serris, partOf, Val d'Europe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val d'Europe Context triple: [Serris, partOf, Val d'Europe]
-
A.
Val d’Europe
chosen
Val d’Europe is a large commercial and residential district in the eastern suburbs of Paris, developed alongside Disneyland Paris and known for its major shopping center and transport links.
-
B.
Val di Rhêmes
Val di Rhêmes is an alpine valley in Italy’s Aosta Valley region, known for its pristine landscapes and role as a key access route into the Gran Paradiso National Park.
-
C.
Val d’Ain
Val d’Ain is the valley region shaped by the Ain River, known for its scenic landscapes and natural waterways in eastern France.
-
D.
Grésivaudan Valley
The Grésivaudan Valley is a broad alpine valley in southeastern France, known for its scenic landscapes, agricultural plains, and proximity to the city of Grenoble.
-
E.
Gave de Pau valley
The Gave de Pau valley is a scenic river valley in southwestern France, known for its picturesque landscapes and views from the city of Pau and its historic funicular.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e122e48190b3f890de8d561480 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525fb8d74819089d1505d1f0f116c |
completed | April 19, 2026, 6:59 p.m. |
Created at: April 8, 2026, 9:32 p.m.