Triple
T22379323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | parish of Gassel |
E553228
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Gassel |
—
|
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: Gassel | Statement: [parish of Gassel, locatedIn, Gassel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gassel Context triple: [parish of Gassel, locatedIn, Gassel]
-
A.
Gassel
chosen
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
B.
Gasselte
Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
-
C.
Fassel
Fassel is a surname most notably associated with Jim Fassel, a former head coach of the New York Giants in the National Football League.
-
D.
Garello
Garello is an Italian surname borne by individuals such as Laura Dominica Garello.
-
E.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582a04ac81908d4d389b150be7f1 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.