Triple
T10943654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regionalverband Ruhr |
E258538
|
entity |
| Predicate | operatesIn |
P82
|
FINISHED |
| Object | Metropole Ruhr |
E115735
|
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: Metropole Ruhr | Statement: [Regionalverband Ruhr, operatesIn, Metropole Ruhr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metropole Ruhr Context triple: [Regionalverband Ruhr, operatesIn, Metropole Ruhr]
-
A.
Mülheim an der Ruhr
Mülheim an der Ruhr is a city in western Germany’s Ruhr area, known for its industrial heritage, riverside setting on the Ruhr River, and role as a regional economic and cultural center.
-
B.
Rhine-Ruhr metropolitan region
The Rhine-Ruhr metropolitan region is a major polycentric urban and industrial area in western Germany that encompasses several large cities, including Cologne, and forms one of Europe’s largest population and economic centers.
-
C.
Regionalverband Ruhr
Regionalverband Ruhr is a regional association in Germany that coordinates planning, development, and cooperation among cities in the Ruhr metropolitan area.
-
D.
Ruhr area
chosen
The Ruhr area is a major urban and industrial region in western Germany known for its dense concentration of cities, former coal and steel industries, and subsequent transformation into a cultural and service hub.
-
E.
Wuppertal
Wuppertal is a city in western Germany known for its steep slopes, extensive parks, and the unique suspended monorail Wuppertal Schwebebahn.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c3fb388190a598f89ae59a7b51 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c2dea008190af68336a096b7f7c |
completed | April 17, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:23 p.m.