Triple
T18459628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahr Valley Railway |
E450996
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Altenahr |
—
|
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: Altenahr | Statement: [Ahr Valley Railway, passesThrough, Altenahr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altenahr Context triple: [Ahr Valley Railway, passesThrough, Altenahr]
-
A.
Altenahr
chosen
Altenahr is a picturesque municipality in Germany’s Ahr Valley, known for its steep vineyards, hiking trails, and historic castle ruins.
-
B.
Altreich
Altreich refers to the pre-World War II core territory of Nazi Germany before its expansion through annexations.
-
C.
Schwanfeld
Schwanfeld is a small municipality in the Lower Franconia region of Bavaria, Germany, known for its rural character and historical roots.
-
D.
Franconia
Franconia is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
-
E.
Franconia
Franconia is a historical region in northern Bavaria, Germany, known for its medieval towns, rich cultural heritage, and distinct Franconian identity within the German-speaking world.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7cdb5c8190a399f0e4052f7d1f |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:33 a.m.