Triple
T20428856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alkmaar region |
E501074
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Bergen (North Holland) |
—
|
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: Bergen (North Holland) | Statement: [Alkmaar region, containsMunicipality, Bergen (North Holland)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergen (North Holland) Context triple: [Alkmaar region, containsMunicipality, Bergen (North Holland)]
-
A.
Bergen, Netherlands
chosen
Bergen, Netherlands is a coastal municipality and village in North Holland known for its dunes, beaches, and long-standing artists’ colony.
-
B.
Bergen aan Zee
Bergen aan Zee is a small Dutch seaside village and resort on the North Sea coast, known for its sandy beaches and dunes.
-
C.
Bleiswijk
Bleiswijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the municipality of Lansingerland.
-
D.
Alkmaar
Alkmaar is a historic city in the Netherlands, renowned for its traditional cheese market and well-preserved medieval center.
-
E.
Zaandam
Zaandam is a city in the North Holland province of the Netherlands, known for its historic windmills, traditional wooden houses, and proximity to Amsterdam.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67baa91b881909dfd68ccca25063c |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:31 a.m.