Triple
T4045473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berg en Dal |
E84054
|
entity |
| Predicate | hasProtectedArea |
P855
|
FINISHED |
| Object | Ooijpolder |
E170001
|
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: Ooijpolder | Statement: [Berg en Dal, hasProtectedArea, Ooijpolder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ooijpolder Context triple: [Berg en Dal, hasProtectedArea, Ooijpolder]
-
A.
Ooijpolder
chosen
Ooijpolder is a Dutch riverine polder and nature area near Nijmegen, known for its scenic floodplains, wetlands, and rich birdlife along the Waal River.
-
B.
’s-Gravenpolder
’s-Gravenpolder is a village in the Dutch province of Zeeland, located within the municipality of Borsele.
-
C.
Vrouwenpolder
Vrouwenpolder is a coastal village in the Dutch province of Zeeland, known for its wide beaches and location between the North Sea and the Veerse Meer.
-
D.
Beemster
Beemster is a historic Dutch polder and UNESCO World Heritage Site in North Holland, renowned for its meticulously planned reclaimed landscape and geometric layout.
-
E.
Sappemeer
Sappemeer is a town in the province of Groningen in the northeastern Netherlands, historically known for its peat colonies and waterways.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5f85d48190ba80a0a24fbe438a |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c6f3796c8190bac5529032419ecc |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 9, 2026, 3:37 p.m.