Triple
T18264254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vechigen |
E437440
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object | Radelfingen (Vechigen) |
—
|
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: Radelfingen (Vechigen) | Statement: [Vechigen, hasLocality, Radelfingen (Vechigen)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radelfingen (Vechigen) Context triple: [Vechigen, hasLocality, Radelfingen (Vechigen)]
-
A.
Radelfingen
chosen
Radelfingen is a rural municipality in the canton of Bern in Switzerland, known for its agricultural landscape and small-village character.
-
B.
Andelfingen
Andelfingen is a municipality and regional center in the canton of Zürich in northern Switzerland, known for its rural character and vineyards along the Thur River.
-
C.
Weinfelden
Weinfelden is a town and municipality in northeastern Switzerland that serves as an important regional center in the canton of Thurgau.
-
D.
Röfingen
Röfingen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Remchingen
Remchingen is a municipality in the Enzkreis district of Baden-Württemberg, Germany, situated along the Pfinz river between Karlsruhe and Pforzheim.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff78b188819081da8e1d389c6c79 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.