Triple
T10174960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woubrugge |
E235826
|
entity |
| Predicate | hasNearbyWaterBody |
P1489
|
FINISHED |
| Object | Braaassemermeer |
E252452
|
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: Braaassemermeer | Statement: [Woubrugge, hasNearbyWaterBody, Braaassemermeer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braaassemermeer Context triple: [Woubrugge, hasNearbyWaterBody, Braaassemermeer]
-
A.
Oostvoornse Meer
Oostvoornse Meer is a recreational lake in the Dutch province of South Holland, popular for activities such as diving, windsurfing, and nature walks.
-
B.
Braassemermeer
chosen
Braassemermeer is a lake in the Dutch province of South Holland, known for recreational boating and water sports.
-
C.
Uitgeestermeer
Uitgeestermeer is a lake in North Holland, the Netherlands, known for its recreational boating, sailing, and natural wetland surroundings near the town of Uitgeest.
-
D.
Veerse Meer
Veerse Meer is a coastal lagoon and recreational lake in the Dutch province of Zeeland, popular for water sports and nature conservation.
-
E.
Blausee
Blausee is a small, crystal-clear alpine lake in the Swiss Bernese Oberland, famed for its striking blue waters and tranquil forest surroundings.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd26a8c8190a391b9d5e47ebb72 |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32acbd9ec81908849b17d8ba1dd11 |
completed | April 6, 2026, 3:38 a.m. |
Created at: March 30, 2026, 9:11 p.m.