Triple
T8439310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhine-Ruhr metropolitan region |
E199309
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Grevenbroich |
E679566
|
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: Grevenbroich | Statement: [Rhine-Ruhr metropolitan region, containsCity, Grevenbroich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grevenbroich Context triple: [Rhine-Ruhr metropolitan region, containsCity, Grevenbroich]
-
A.
Grevenbroich
chosen
Grevenbroich is a town in North Rhine-Westphalia, Germany, known for its location in the Rhine district of Neuss and its proximity to major industrial and energy-producing regions.
-
B.
Backworth
Backworth is a village in North Tyneside, England, historically associated with coal mining and now largely residential.
-
C.
Remscheid
Remscheid is a city in North Rhine-Westphalia, Germany, known historically for its metalworking industry and as the birthplace of physicist Wilhelm Röntgen.
-
D.
Bergkamen
Bergkamen is a town in North Rhine-Westphalia, Germany, known for its coal mining heritage and post-war planned urban development.
-
E.
Euskirchen
Euskirchen is a town in the German state of North Rhine-Westphalia, known as a regional center near Bonn and the Eifel region.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe13708988190a534e38d8254c9bd |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39a951c881909cfa0a35feeb2ee0 |
completed | April 2, 2026, 9:40 a.m. |
Created at: March 30, 2026, 6:08 p.m.