Triple
T1876355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaag en Braassem |
E39152
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Leiderdorp |
E221090
|
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: Leiderdorp | Statement: [Kaag en Braassem, borderedBy, Leiderdorp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leiderdorp Context triple: [Kaag en Braassem, borderedBy, Leiderdorp]
-
A.
Leiderdorp
chosen
Leiderdorp is a town and municipality in the western Netherlands, situated near the city of Leiden in the province of South Holland.
-
B.
Badhoevedorp
Badhoevedorp is a village in North Holland, Netherlands, located just southwest of Amsterdam and known for its proximity to Schiphol Airport.
-
C.
Nuenen
Nuenen is a village in the southern Netherlands, known for its association with both the painter Vincent van Gogh and computer scientist Edsger W. Dijkstra.
-
D.
Bloemendaal
Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
-
E.
Hendrik-Ido-Ambacht
Hendrik-Ido-Ambacht is a town and municipality in the western Netherlands known for its residential character and location within the Rotterdam metropolitan area.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0d902ac8190a2d9bb6f683986e4 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad5851b481908242f6d88a78a08a |
completed | March 28, 2026, 10:28 a.m. |
Created at: March 4, 2026, 7:34 p.m.