Triple
T13662572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alzette River |
E327035
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Ettelbruck |
E178409
|
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: Ettelbruck | Statement: [Alzette River, flowsThrough, Ettelbruck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ettelbruck Context triple: [Alzette River, flowsThrough, Ettelbruck]
-
A.
Ettelbruck
chosen
Ettelbruck is a town in north-central Luxembourg known for its strategic role in World War II and its commemoration of the country’s liberation.
-
B.
Clervaux
Clervaux is a small town and commune in northern Luxembourg known for its historic castle and picturesque Ardennes setting.
-
C.
Diekirch
Diekirch is a town in northern Luxembourg known for its role in World War II, particularly during the country's liberation, and for its national military museum.
-
D.
Bettembourg
Bettembourg is a town in southern Luxembourg known as a key railway junction and border-crossing point on the national rail network.
-
E.
Bitburg
Bitburg is a town in western Germany’s Eifel region, best known internationally for its Bitburger brewery and its nearby World War II military cemetery.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc620df208190afaccf3ddd10aa60 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d46c48c81908d64f1a32cf08c5b |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:52 p.m.