Triple
T5601013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simmern |
E147118
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hunsrück |
E320128
|
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: Hunsrück | Statement: [Simmern, locatedIn, Hunsrück]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunsrück Context triple: [Simmern, locatedIn, Hunsrück]
-
A.
Hunsrück
chosen
Hunsrück is a low mountain range in western Germany known for its forested hills, rural landscapes, and traditional villages between the Moselle, Rhine, and Nahe rivers.
-
B.
Westerwald
Westerwald is a low mountain range in western Germany known for its forested landscapes, traditional villages, and ceramic and mining heritage.
-
C.
Odenwald
Odenwald is a low mountain range in southwestern Germany known for its forested hills, historic towns, and scenic hiking landscapes.
-
D.
Breisgau
Breisgau is a historic region in southwestern Germany along the Upper Rhine, known for its mild climate, wine production, and the city of Freiburg im Breisgau.
-
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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020da519c81908626b243e40db263 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02873b1dc8190b11a6c069f3e4f7e |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:39 p.m.