Triple
T5409831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eifel National Park |
E120987
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | North 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: North Eifel | Statement: [Eifel National Park, partOf, North Eifel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Eifel Context triple: [Eifel National Park, partOf, North 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.
Todtnau
Todtnau is a small town in Germany’s Black Forest region, known for its mountainous scenery, outdoor recreation, and proximity to the Feldberg peak.
-
C.
Wachtberg
Wachtberg is a municipality in the Rhein-Sieg district of North Rhine-Westphalia, Germany, known for its scenic location near Bonn and the Siebengebirge hills.
-
D.
Vogelsberg
Vogelsberg is a large volcanic mountain range in the German state of Hesse, known for its forested highlands and rural landscapes.
-
E.
Steigerwald
Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8796a420819092c1771407cd1a5d |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c548a40819086910fbc39b21e90 |
completed | March 22, 2026, 4:13 a.m. |
Created at: March 20, 2026, 2:05 p.m.