Triple
T13865525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dudelange-Usines railway station |
E333314
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Dudelange |
E65239
|
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: Dudelange | Statement: [Dudelange-Usines railway station, locatedIn, Dudelange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dudelange Context triple: [Dudelange-Usines railway station, locatedIn, Dudelange]
-
A.
Dudelange
chosen
Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
-
B.
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.
-
C.
Clervaux
Clervaux is a small town and commune in northern Luxembourg known for its historic castle and picturesque Ardennes setting.
-
D.
Differdange
Differdange is a town in southwestern Luxembourg known as an industrial center with a strong steelmaking heritage.
-
E.
Grevenmacher
Grevenmacher is a town in eastern Luxembourg on the Moselle River, known as a regional wine-producing center and an important crossing point on the Germany–Luxembourg border.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c419d481909230e8879b6dab5c |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5b719848190981aec627d64df58 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 9, 2026, 10:14 p.m.