Triple
T2663380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luxembourg Plateau |
E54775
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Luxembourg City |
E70084
|
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: Luxembourg City | Statement: [Luxembourg Plateau, contains, Luxembourg City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luxembourg City Context triple: [Luxembourg Plateau, contains, Luxembourg City]
-
A.
Luxembourg City, Luxembourg
chosen
Luxembourg City is the capital and largest city of Luxembourg, known for its fortified medieval old town perched on dramatic cliffs and its role as a major European administrative and financial center.
-
B.
Dudelange
Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
-
C.
Esch-sur-Alzette
Esch-sur-Alzette is Luxembourg’s second-largest city, known as an important industrial and cultural center in the country’s south near the French border.
-
D.
Betzdorf, Luxembourg
Betzdorf, Luxembourg is a small commune in eastern Luxembourg notable as the birthplace of Henri, the current Grand Duke of Luxembourg.
-
E.
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.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96b9f1c8190a8a9460ca88a9aaf |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb674ed4c8190a398fccdbd30e9c2 |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:54 p.m.