Triple
T19869809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B33 road |
E477482
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Bad Saulgau |
—
|
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: Bad Saulgau | Statement: [B33 road, passesThrough, Bad Saulgau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Saulgau Context triple: [B33 road, passesThrough, Bad Saulgau]
-
A.
Bad Saulgau
chosen
Bad Saulgau is a spa town in the district of Sigmaringen in Baden-Württemberg, Germany, known for its thermal baths and historic town center.
-
B.
Lombach
The Lombach is a small river in the Bernese Oberland region of Switzerland that flows through the municipality of Unterseen near Interlaken.
-
C.
Sausheim
Sausheim is a commune in the Haut-Rhin department of the Grand Est region in northeastern France, situated near the city of Mulhouse.
-
D.
Willanzheim
Willanzheim is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian wine-growing tradition.
-
E.
Illzach
Illzach is a commune in northeastern France’s Grand Est region, situated near the city of Mulhouse in the Haut-Rhin department.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a2cc8481908d134b0b5cf79d06 |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.