Triple
T12761599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Blockbuster |
E305008
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Xanten area |
E323116
|
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: Xanten area | Statement: [Operation Blockbuster, location, Xanten area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xanten area Context triple: [Operation Blockbuster, location, Xanten area]
-
A.
Xanten
chosen
Xanten is a historic town in western Germany known for its well-preserved Roman archaeological park and medieval architecture.
-
B.
Aachen region
The Aachen region is a cross-border area centered around the German city of Aachen, known for its historical significance, industry, and integration within the Euroregion Meuse-Rhine.
-
C.
Arnsberg region
The Arnsberg region is an administrative district in the German state of North Rhine-Westphalia, encompassing several cities and towns in the eastern Ruhr and surrounding areas.
-
D.
Oberhausen an der Nahe area
The Oberhausen an der Nahe area is a renowned wine-growing region in Germany’s Nahe Valley, noted for its high-quality Riesling vineyards and picturesque river landscapes.
-
E.
Lüdenscheid
Lüdenscheid is a town in western Germany’s Sauerland region, historically noted for its role in World War II and known today for its metal and plastics industries.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8e44188190840cd23d380bf23d |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f298f881908ad77f2d0ab588a8 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:28 p.m.