Triple
T18085153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zwartsluis |
E432814
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Meppelerdiep |
—
|
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: Meppelerdiep | Statement: [Zwartsluis, locatedOn, Meppelerdiep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meppelerdiep Context triple: [Zwartsluis, locatedOn, Meppelerdiep]
-
A.
Meppelerdiep
chosen
Meppelerdiep is a canalized river and important waterway in the northeastern Netherlands that connects the town of Meppel with larger regional waterways.
-
B.
Lauwersmeer
Lauwersmeer is a lake and national park in the northern Netherlands known for its rich birdlife and protected wetland landscapes.
-
C.
Naardermeer
Naardermeer is a Dutch freshwater lake and nature reserve, renowned as the Netherlands’ first protected natural area and an important habitat for birds and wetland wildlife.
-
D.
Haarlemmermeer
Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
-
E.
Henschotermeer
Henschotermeer is a popular recreational lake and nature area in the Dutch province of Utrecht, known for its sandy beaches, swimming, and walking trails.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fdb00c8190b4769699e94c8941 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.