Triple
T16642906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colmar-Berg |
E404387
|
entity |
| Predicate | locatedNearRiver |
P165
|
FINISHED |
| Object | Alzette |
E569988
|
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: Alzette | Statement: [Colmar-Berg, locatedNearRiver, Alzette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alzette Context triple: [Colmar-Berg, locatedNearRiver, Alzette]
-
A.
Alzette
chosen
The Alzette is a river in Luxembourg and France that flows through Luxembourg City and ultimately joins the Sauer, making it an important waterway in the region.
-
B.
Alzette riverfront
Alzette riverfront is a scenic riverside area in Luxembourg City’s historic Grund district, known for its picturesque views, walking paths, and charming old architecture along the Alzette River.
-
C.
Nassau-Vianden
Nassau-Vianden was a historical county of the House of Nassau located around Vianden in present-day Luxembourg and Germany.
-
D.
Clervaux
Clervaux is a small town and commune in northern Luxembourg known for its historic castle and picturesque Ardennes setting.
-
E.
Valette
Valette is a French surname most notably associated with Pierre-Adolphe Valette, an influential early 20th-century Impressionist painter and teacher in Manchester.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad27b5481908316b4f23fb8bc32 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084bd1b648190b6189533dcd7b9ac |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.