Triple
T20244854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alkmaardermeer |
E498395
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Akersloot |
—
|
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: Akersloot | Statement: [Alkmaardermeer, hasNearbySettlement, Akersloot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akersloot Context triple: [Alkmaardermeer, hasNearbySettlement, Akersloot]
-
A.
Akersloot
chosen
Akersloot is a village in the Dutch province of North Holland, known for its waterside location and recreational boating on nearby lakes and canals.
-
B.
Molenschot
Molenschot is a small village in the Dutch province of North Brabant, known for its rural character and traditional local community.
-
C.
Ridderkerk
Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
-
D.
Nunspeet
Nunspeet is a Dutch town and municipality on the Veluwe known for its forests, heathlands, and role as a popular nature and holiday destination.
-
E.
Kortenaken
Kortenaken is a rural municipality in the Flemish Brabant province of Belgium, known for its agricultural landscape and small village communities.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a10ab48190a408a5d2c2b0808b |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:40 p.m.