Triple
T18195852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Jacobapolder |
E435658
|
entity |
| Predicate | hasNearbyBodyOfWater |
P8567
|
FINISHED |
| Object | Krammer-Volkerak |
—
|
NE NERFINISHED |
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: Krammer-Volkerak | Statement: [Anna Jacobapolder, hasNearbyBodyOfWater, Krammer-Volkerak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krammer-Volkerak Context triple: [Anna Jacobapolder, hasNearbyBodyOfWater, Krammer-Volkerak]
-
A.
Krammer
chosen
Krammer is a body of water in the Rhine–Meuse–Scheldt delta in the southwestern Netherlands, known as a former estuarine channel now separated from the sea by dams and used for recreation and water management.
-
B.
Volkert
Volkert is a Dutch environmental and animal rights activist best known for assassinating politician Pim Fortuyn in 2002.
-
C.
Rademakers
Rademakers is a Dutch surname most notably associated with Fons Rademakers, an acclaimed film director and producer.
-
D.
Le Kram
Le Kram is a coastal town and suburb of Tunis in northeastern Tunisia, known for its proximity to the capital and the Gulf of Tunis.
-
E.
Krasker
Krasker is a surname most notably associated with Robert Krasker, an acclaimed cinematographer known for his work on classic mid-20th-century films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d2ad5881909d846f3851ac9ec9 |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.