Triple
T23006055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Geertruidenberg |
E572771
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Raamsdonk |
—
|
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: Raamsdonk | Statement: [municipality of Geertruidenberg, contains, Raamsdonk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raamsdonk Context triple: [municipality of Geertruidenberg, contains, Raamsdonk]
-
A.
Raamsdonk
chosen
Raamsdonk is a village in the Dutch province of North Brabant, known for its historic churches and traditional rural character.
-
B.
Langeveen
Langeveen is a small village in the Dutch province of Overijssel, located within the municipality of Tubbergen.
-
C.
Loosduinen
Loosduinen is a district in the southwest of The Hague in the Netherlands, historically a separate village known for its former abbey and more rural character.
-
D.
Londerzeel
Londerzeel is a municipality in the Flemish Brabant province of Belgium, known for its residential character and proximity to both Brussels and Antwerp.
-
E.
De Koog
De Koog is a coastal village and popular seaside resort on the Dutch Wadden Island of Texel, known for its beaches, dunes, and tourism.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835706dc8190b3f9743c0f336bb2 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:51 p.m.