Triple
T22153820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pajottenland |
E547480
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Galmaarden |
—
|
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: Galmaarden | Statement: [Pajottenland, contains, Galmaarden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galmaarden Context triple: [Pajottenland, contains, Galmaarden]
-
A.
Galmaarden
chosen
Galmaarden is a small Dutch-speaking municipality in the Flemish Brabant province of Belgium, known for its rural character and location near the language border.
-
B.
Groot-Bijgaarden
Groot-Bijgaarden is a village in Flemish Brabant, Belgium, known for its historic castle and extensive spring flower gardens.
-
C.
Krimpenerwaard
Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
-
D.
Reigersbos
Reigersbos is a metro station in the southeastern part of Amsterdam, serving the surrounding residential neighborhood on the city's rapid transit network.
-
E.
Doornbos
Doornbos is a Dutch surname most notably associated with former Formula One racing driver Robert Doornbos.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f6d5b88190badee2e515a3b633 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.