Triple
T15186395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krabbendijke |
E362886
|
entity |
| Predicate | locatedOnFormerIsland |
P61019
|
FINISHED |
| Object | Zuid-Beveland |
E72782
|
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: Zuid-Beveland | Statement: [Krabbendijke, locatedOnFormerIsland, Zuid-Beveland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zuid-Beveland Context triple: [Krabbendijke, locatedOnFormerIsland, Zuid-Beveland]
-
A.
Zuid-Beveland
chosen
Zuid-Beveland is a peninsula and region in the southwest of the Netherlands known for its reclaimed polders, dike landscapes, and agricultural villages.
-
B.
Saterland
Saterland is a small municipality in Lower Saxony, Germany, known as the last stronghold of the Saterland Frisian language and culture.
-
C.
Noord-Beveland
Noord-Beveland is a sparsely populated island municipality in the Dutch province of Zeeland, known for its coastal landscapes, agriculture, and water-based recreation.
-
D.
North Beveland
North Beveland is a small island and municipality in the Dutch province of Zeeland, known for its rural landscape, coastal scenery, and agricultural character.
-
E.
Westhavelland
Westhavelland is a rural region in western Brandenburg, Germany, characterized by extensive wetlands, lakes, and protected natural landscapes.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067995fc8190b048f15086bd42f0 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed32e425c819083f10f947c258a9b |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:09 a.m.