Triple
T14236870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont-Saint-André |
E352903
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mont-Saint-André |
E352903
|
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: Mont-Saint-André | Statement: [Mont-Saint-André, name, Mont-Saint-André]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mont-Saint-André Context triple: [Mont-Saint-André, name, Mont-Saint-André]
-
A.
Mont-Saint-André
chosen
Mont-Saint-André is a village in Wallonia, Belgium, forming one of the districts of the municipality of Ramillies in the province of Walloon Brabant.
-
B.
Bourg-Saint-Maurice
Bourg-Saint-Maurice is a French Alpine town in the Savoie department, known as a gateway to major ski resorts such as Les Arcs in the Graian Alps.
-
C.
Montbéliarde
Montbéliarde is a French dairy cattle breed from the Franche-Comté region, valued for its high-quality milk used in traditional cheeses.
-
D.
Bourg-d’Oisans
Bourg-d’Oisans is a small Alpine town in southeastern France known as a gateway to the Écrins National Park and a popular base for cycling and mountain sports.
-
E.
Longjumeau
Longjumeau is a suburban commune in the southern outskirts of Paris, France, known for its residential character and proximity to major transport routes.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62422e28819089e7115052a28c96 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd647b37a8819095fe0bb62e0373fb |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:07 a.m.