Triple
T18195797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Tholen |
E435657
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Scherpenisse |
—
|
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: Scherpenisse | Statement: [municipality of Tholen, contains, Scherpenisse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scherpenisse Context triple: [municipality of Tholen, contains, Scherpenisse]
-
A.
Scherpenisse
chosen
Scherpenisse is a village in the Dutch province of Zeeland, located on the island of Tholen.
-
B.
Scherpenzeel
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
-
C.
Onkerzele
Onkerzele is a village in the Flemish municipality of Geraardsbergen in East Flanders, Belgium.
-
D.
Struycken
Struycken is a Dutch surname most notably borne by actor Carel Struycken, known for his distinctive tall stature and roles in film and television.
-
E.
Greifelt
Greifelt is a German surname most notably associated with Ulrich Greifelt, a high-ranking official in Nazi Germany.
- 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.