Triple
T618843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glacier des Bossons |
E14465
|
entity |
| Predicate | terminusNear |
P1866
|
FINISHED |
| Object | Chamonix |
E12797
|
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: Chamonix | Statement: [Glacier des Bossons, terminusNear, Chamonix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chamonix Context triple: [Glacier des Bossons, terminusNear, Chamonix]
-
A.
Chamonix
chosen
Chamonix is a renowned French alpine town and ski resort in the Haute-Savoie region, famous for its dramatic mountain scenery and mountaineering history.
-
B.
Courmayeur
Courmayeur is a renowned Italian Alpine resort town in the Aosta Valley, famous for skiing, mountaineering, and its proximity to the Mont Blanc massif.
-
C.
Montgenèvre
Montgenèvre is a French Alpine ski resort village in the Hautes-Alpes department, known for its high-altitude slopes and location near the Italian border.
-
D.
Le Puy-en-Velay
Le Puy-en-Velay is a historic town in south-central France renowned for its volcanic landscape, Marian pilgrimage site, and traditional lace-making.
-
E.
Thonon-les-Bains
Thonon-les-Bains is a French spa and resort town in the Haute-Savoie region, known for its lakeside setting on Lake Geneva and views of the Alps.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e25956c8190a1eed87002548658 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5778b82e8819083fbbedb9c3e340e |
completed | March 2, 2026, 11:42 a.m. |
Created at: March 1, 2026, 7:35 p.m.