Triple
T23066621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Dolomites Road |
E575058
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Val d’Ega |
—
|
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: Val d’Ega | Statement: [Great Dolomites Road, passesThrough, Val d’Ega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val d’Ega Context triple: [Great Dolomites Road, passesThrough, Val d’Ega]
-
A.
Val d’Ega
chosen
Val d’Ega is a picturesque valley in the Dolomites of northern Italy, known for its dramatic mountain scenery, hiking and skiing areas, and traditional South Tyrolean villages.
-
B.
Val d’Arda
Val d’Arda is a valley area in the Emilia-Romagna region of northern Italy, known for its scenic landscapes, historic towns, and wine production.
-
C.
Vallée de Gaube
Vallée de Gaube is a scenic glacial valley in the French Pyrenees, renowned for its alpine landscapes, hiking trails, and access to the nearby Lac de Gaube.
-
D.
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.
-
E.
Val d’Europe
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.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a4e2fc81909704333306737f80 |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.