Triple
T12779232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardennes (Belgium) |
E305458
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vielsalm |
E221299
|
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: Vielsalm | Statement: [Ardennes (Belgium), contains, Vielsalm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vielsalm Context triple: [Ardennes (Belgium), contains, Vielsalm]
-
A.
Vielsalm
chosen
Vielsalm is a municipality in the Belgian province of Luxembourg, known for its Ardennes landscapes and outdoor tourism.
-
B.
Sundvollen
Sundvollen is a small village in Norway known for its scenic location by Tyrifjorden and as a gateway to popular hiking areas like Krokskogen and viewpoints such as Kongens utsikt.
-
C.
Selm
Selm is a small town in the German state of North Rhine-Westphalia, located in the Ruhr area.
-
D.
Balve
Balve is a small town in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known for its limestone caves and scenic Sauerland surroundings.
-
E.
Kaarsild
Kaarsild is a pedestrian arch bridge in Tartu, Estonia, known for spanning the Emajõgi River and offering scenic views of the city.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5a5680819095dcd491486d23e7 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f685013e0481908db09302a2ced207 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:29 p.m.