Triple
T14383187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wissenkerke |
E356655
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kamperland |
E356654
|
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: Kamperland | Statement: [Wissenkerke, locatedNear, Kamperland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamperland Context triple: [Wissenkerke, locatedNear, Kamperland]
-
A.
Kamperland
chosen
Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
-
B.
Arelerland
Arelerland is a historical region in southeastern Belgium, centered around the town of Arlon and known for its Luxembourgish cultural and linguistic heritage.
-
C.
Nemoland
Nemoland is a popular open-air bar and live music venue located within Copenhagen’s autonomous neighborhood of Freetown Christiania.
-
D.
Heidiland
Heidiland is a popular Swiss tourist region in Eastern Switzerland, known for its alpine landscapes and associations with Johanna Spyri’s "Heidi" stories.
-
E.
Backaland
Backaland is a small settlement on the Orkney island of Eday in Scotland.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900d28c88190a37feee4743563de |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5511c9e4819089dcbf089ca0dc6a |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.