Triple
T3388737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klaaswaal |
E71365
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Oud-Beijerland |
E90858
|
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: Oud-Beijerland | Statement: [Klaaswaal, locatedNear, Oud-Beijerland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oud-Beijerland Context triple: [Klaaswaal, locatedNear, Oud-Beijerland]
-
A.
Oud-Beijerland
chosen
Oud-Beijerland is a town in the western Netherlands known as one of the main population centers in the Hoeksche Waard region.
-
B.
Zuid-Beijerland
Zuid-Beijerland is a village in the western Netherlands, located in the province of South Holland and known for its rural character within the Hoeksche Waard region.
-
C.
Betuwe
Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
-
D.
Kennemerland
Kennemerland is a coastal historical region in the northwest of the Netherlands, known for its dunes, beaches, and old trading towns.
-
E.
Schouwen-Duiveland
Schouwen-Duiveland is a coastal municipality and island in the southwest of the Netherlands known for its beaches, nature reserves, and water sports tourism.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb665c6008190b33994ef20f5bd61 |
completed | March 8, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf41063b048190a68a6f6d42b7aaa2 |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 8, 2026, 3:14 p.m.