Triple
T13355666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overveen railway station |
E318684
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Overveen |
E318681
|
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: Overveen | Statement: [Overveen railway station, locatedIn, Overveen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Overveen Context triple: [Overveen railway station, locatedIn, Overveen]
-
A.
Overveen
chosen
Overveen is a village in the Dutch province of North Holland, known for its proximity to the North Sea coast and the nearby dunes and forests.
-
B.
Vriezekoop
Vriezekoop is a small village in the Dutch province of South Holland, known for its rural character and location along the Westeinderplassen near Leimuiden.
-
C.
Hudde
Hudde is a Dutch surname most notably associated with Johannes Hudde, a 17th-century mathematician and mayor of Amsterdam known for his contributions to algebra and optics.
-
D.
Raalte
Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
-
E.
Hoendiep
Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99f1ef94c81909a59b7c3f77d3335 |
completed | April 11, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306668288190ae8dc05ebadb4975 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:32 p.m.