Triple
T25803611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Ketelmeer |
E649902
|
entity |
| Predicate | IJsseloog artificial islandFunction |
P110552
|
FINISHED |
| Object | storage of contaminated dredged material |
—
|
LITERAL 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: storage of contaminated dredged material | Statement: [Lake Ketelmeer, IJsseloog artificial islandFunction, storage of contaminated dredged material]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IJsseloog artificial islandFunction Context triple: [Lake Ketelmeer, IJsseloog artificial islandFunction, storage of contaminated dredged material]
-
A.
artificialIslandUsedFor
chosen
Indicates that an artificial island serves a particular use, function, or purpose for something.
-
B.
locatedOnArtificialIsland
Indicates that an entity is situated on an island that has been artificially constructed rather than naturally formed.
-
C.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
D.
isOnIslandFormedBy
Indicates that one entity is located on an island that has been created or formed by another entity or process.
-
E.
isIsland
Indicates that the subject entity is classified as an island, i.e., a landmass surrounded by water.
- F. None of above.
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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5ffcdc66c8190a7aa2f1bdfe01f98 |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 6:43 a.m.