Triple
T12566244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany–Luxembourg border |
E295484
|
entity |
| Predicate | hasBorderTown |
P847
|
FINISHED |
| Object | Echternach |
E475787
|
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: Echternach | Statement: [Germany–Luxembourg border, hasBorderTown, Echternach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Echternach Context triple: [Germany–Luxembourg border, hasBorderTown, Echternach]
-
A.
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.
-
B.
Echternach, Luxembourg
chosen
Echternach, Luxembourg is a historic town near the German border known as the country’s oldest city and a cultural center featuring the famous Echternach Abbey and annual dancing procession.
-
C.
Willanzheim
Willanzheim is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian wine-growing tradition.
-
D.
Trier
Trier is a historic city in western Germany, renowned as one of the country’s oldest cities with extensive Roman ruins and medieval landmarks.
-
E.
Maubeuge
Maubeuge is a fortified industrial town in northern France near the Belgian border, historically significant for its strategic military position.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9549611c081909e611756f3cce7f0 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c6c21348190b851fce31df307e2 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 8, 2026, 11:49 p.m.