Triple
T14331851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herne |
E355366
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Castrop-Rauxel |
E1050975
|
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: Castrop-Rauxel | Statement: [Herne, locatedNear, Castrop-Rauxel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castrop-Rauxel Context triple: [Herne, locatedNear, Castrop-Rauxel]
-
A.
Castrop-Rauxel
chosen
Castrop-Rauxel is a town in western Germany’s Ruhr area, known historically for coal mining and heavy industry.
-
B.
Mettmann
Mettmann is a town in western Germany’s North Rhine-Westphalia region, known as the administrative center of the Mettmann district and for its proximity to the Neander Valley.
-
C.
Hennef
Hennef is a town in North Rhine-Westphalia, Germany, situated on the river Sieg near Bonn and known for its mix of residential areas, industry, and surrounding countryside.
-
D.
Remscheid
Remscheid is a city in North Rhine-Westphalia, Germany, known historically for its metalworking industry and as the birthplace of physicist Wilhelm Röntgen.
-
E.
Troisdorf
Troisdorf is a town in North Rhine-Westphalia, Germany, located between Cologne and Bonn and known as an important industrial and commuter hub in the Rhine-Sieg district.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1fb87c81908412c2953243c8e3 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff288ba908190a36c4784331d1e60 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 1:13 a.m.