Triple
T4983194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veerse Gatdam |
E111936
|
entity |
| Predicate | protects |
P1040
|
FINISHED |
| Object | Veerse Meer lagoon |
E358116
|
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: Veerse Meer lagoon | Statement: [Veerse Gatdam, protects, Veerse Meer lagoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veerse Meer lagoon Context triple: [Veerse Gatdam, protects, Veerse Meer lagoon]
-
A.
Veerse Meer
chosen
Veerse Meer is a coastal lagoon and recreational lake in the Dutch province of Zeeland, popular for water sports and nature conservation.
-
B.
Markiezaatsmeer
Markiezaatsmeer is a Dutch lake and nature reserve in the province of North Brabant, known for its wetlands and rich birdlife.
-
C.
Haarlemmermeer
Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
-
D.
Braassemermeer
Braassemermeer is a lake in the Dutch province of South Holland, known for recreational boating and water sports.
-
E.
Oldambtmeer
Oldambtmeer is an artificial lake in the municipality of Oldambt in the province of Groningen, Netherlands, created as part of a large-scale landscape and recreational development project.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd725489bc81908f660332e25f29cf |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a13f5448190a49f914d1ba49a7a |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:33 p.m.