Triple
T17816134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergsche Maas |
E444845
|
entity |
| Predicate | separatedFrom |
P243
|
FINISHED |
| Object | Waal |
—
|
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: Waal | Statement: [Bergsche Maas, separatedFrom, Waal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waal Context triple: [Bergsche Maas, separatedFrom, Waal]
-
A.
Waal
chosen
The Waal is a major distributary branch of the Rhine River in the Netherlands, serving as an important waterway for shipping and part of the country’s main river system.
-
B.
Oude Waal
Oude Waal is a small water body in the Gelderland province of the Netherlands, known as a former river channel or oxbow lake in the floodplains near Beek-Ubbergen.
-
C.
Dieuze
Dieuze is a small commune in northeastern France, located in the Moselle department in the historical region of Lorraine.
-
D.
Geul River
The Geul River is a small, winding river in the southeastern Netherlands and eastern Belgium, known for its scenic valleys, historic watermills, and role in shaping the hilly landscape of South Limburg.
-
E.
Deister
Deister is a low mountain range in Lower Saxony, Germany, known for its forested hills, hiking trails, and proximity to the Hanover region.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887f7d048190b6d813b9f0fab3e7 |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.