Triple
T19869848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Forest Railway (Schwarzwaldbahn) |
E477483
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Triberg |
—
|
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: Triberg | Statement: [Black Forest Railway (Schwarzwaldbahn), passesThrough, Triberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triberg Context triple: [Black Forest Railway (Schwarzwaldbahn), passesThrough, Triberg]
-
A.
Triberg
chosen
Triberg is a picturesque German town in the Black Forest, renowned for its towering waterfalls and traditional cuckoo clocks.
-
B.
Bobingen
Bobingen is a small town in Bavaria, Germany, situated near Augsburg and known for its location along the Wertach River.
-
C.
Tureberg
Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
-
D.
Streuben
Streuben is a locality or district that forms part of the town of Wurzen in the German state of Saxony.
-
E.
Krummenau
Krummenau is a village in the Toggenburg region of the Swiss canton of St. Gallen, known for its rural alpine setting and traditional Swiss character.
- 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.