Triple
T13963855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Esch-sur-Alzette |
E335869
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Leudelange |
E1107989
|
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: Leudelange | Statement: [Canton of Esch-sur-Alzette, containsCity, Leudelange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leudelange Context triple: [Canton of Esch-sur-Alzette, containsCity, Leudelange]
-
A.
Leudelange
chosen
Leudelange is a small commune and town in southwestern Luxembourg, situated near the capital city within the country’s industrial and residential belt.
-
B.
Ettelbruck
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.
-
C.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
-
D.
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.
-
E.
Dudelange
Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7e24f08190ba939a8044860033 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde15cbbb0819099b84032d65cfdb0 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 9, 2026, 10:18 p.m.