Triple
T19563428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velp (North Brabant) |
E489514
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Maas river |
—
|
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: Maas river | Statement: [Velp (North Brabant), locatedNear, Maas river]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maas river Context triple: [Velp (North Brabant), locatedNear, Maas river]
-
A.
Maas River
The Maas River is a major European waterway flowing through France, Belgium, and the Netherlands, known for its historical role in trade and its extensive delta in the Low Countries.
-
B.
Maas
Maas is a surname of Dutch and German origin borne by various notable individuals across fields such as journalism, sports, and the arts.
-
C.
Maas
chosen
The Maas, also known as the Meuse, is a major European river flowing through France, Belgium, and the Netherlands before emptying into the North Sea.
-
D.
Lange river
The Lange river is a small watercourse in eastern France that flows through the town of Oyonnax in the Ain department.
-
E.
Kwanza River
The Kwanza River is one of Angola’s longest and most important rivers, historically vital for transport, agriculture, and hydroelectric power in the country.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f75b2d481909fa3f603fe6bd5bd |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.