Triple
T21285018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alblasserwaard |
E524632
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Brandwijk |
—
|
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: Brandwijk | Statement: [Alblasserwaard, contains, Brandwijk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brandwijk Context triple: [Alblasserwaard, contains, Brandwijk]
-
A.
Brandwijk
chosen
Brandwijk is a small village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
-
B.
Maasland
Maasland is a historical region in the Low Countries centered along the river Meuse, known for its medieval political and cultural significance.
-
C.
Land van Heusden
Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
-
D.
De Braak
De Braak is a notable park in Amstelveen, Netherlands, known for its green recreational space and local natural scenery.
-
E.
Warnsveld
Warnsveld is a village in the Dutch province of Gelderland that formerly existed as an independent municipality before being incorporated into the nearby city of Zutphen.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d658e08190ad2f267123d53ede |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.