Triple
T21785337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaals |
E537820
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Vaalserberg |
—
|
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: Vaalserberg | Statement: [Vaals, hasPart, Vaalserberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaalserberg Context triple: [Vaals, hasPart, Vaalserberg]
-
A.
Vaalserberg
chosen
Vaalserberg is a hill in the southeastern Netherlands known as the country's highest point and the location of the tripoint where the borders of the Netherlands, Germany, and Belgium meet.
-
B.
Mount Van Hoevenberg
Mount Van Hoevenberg is a mountain in New York’s Adirondack region best known for its winter sports facilities and role in hosting events for the 1932 and 1980 Winter Olympics.
-
C.
Nuweveldberge
Nuweveldberge is a mountain range in South Africa that forms part of the Great Escarpment and is known for its rugged terrain and semi-arid Karoo landscapes.
-
D.
De Vliedberg
De Vliedberg is a residential neighborhood located within the Dutch municipality of Hellevoetsluis in South Holland.
-
E.
Großer Belchen
Großer Belchen is the highest peak in the Vosges Mountains of northeastern France, known for its panoramic views and significance as a prominent regional landmark.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f04630f4f08190910b9e499a4249ca |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.