Triple
T2400176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vennbahn railway |
E47746
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Eifel |
E56877
|
NE FINISHED |
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: Eifel | Statement: [Vennbahn railway, region, Eifel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eifel Context triple: [Vennbahn railway, region, Eifel]
-
A.
Eifel Mountains
chosen
The Eifel Mountains are a low mountain range in western Germany and eastern Belgium, known for their volcanic landscapes, dense forests, and picturesque villages.
-
B.
Sauerland
Sauerland is a hilly, forested region in western Germany known for its reservoirs, outdoor recreation, and winter sports areas.
-
C.
Odenwald
Odenwald is a low mountain range in southwestern Germany known for its forested hills, historic towns, and scenic hiking landscapes.
-
D.
Hochtaunus
Hochtaunus is a highland area in the central Taunus Mountains of Hesse, Germany, known for its forested hills, scenic landscapes, and popular hiking and recreation opportunities.
-
E.
Ardennes-Eifel region
The Ardennes-Eifel region is a hilly, forested area spanning parts of eastern Belgium, Luxembourg, and western Germany, known for its natural landscapes, outdoor recreation, and historical World War II sites.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c95d8c819088e4bb4fb32452ae |
completed | March 7, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf3d44b48190aa405ee612cdf57c |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 4, 2026, 7:57 p.m.