Triple
T19449401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aiguille du Belvédère |
E486573
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Lac Blanc |
—
|
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: Lac Blanc | Statement: [Aiguille du Belvédère, hasViewOf, Lac Blanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lac Blanc Context triple: [Aiguille du Belvédère, hasViewOf, Lac Blanc]
-
A.
Lac Blanc
chosen
Lac Blanc is a scenic alpine lake in the Vosges Mountains of northeastern France, popular for hiking, nature observation, and panoramic views.
-
B.
Lac du Der-Chantecoq
Lac du Der-Chantecoq is one of France’s largest artificial lakes, known for its birdlife, wetlands, and role in flood control and recreation in the Champagne region.
-
C.
Lac du Sautet
Lac du Sautet is an artificial lake in southeastern France, created by a dam on the Drac River and known for its striking alpine scenery and outdoor recreation.
-
D.
Glacière
Glacière is a Paris Métro station in the 13th arrondissement, known for its elevated tracks and proximity to the historic Rue de la Glacière.
-
E.
Lac du Bourget
Lac du Bourget is a large glacial lake in the Savoie region of southeastern France, known for its scenic Alpine setting and popular recreational activities.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338caeb48190aeb1d511996984e3 |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.