Triple
T21557022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ennepetal (Gevelsberg) station |
E531918
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Iserlohn-Letmathe |
—
|
NE NERFINISHED |
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: Iserlohn-Letmathe | Statement: [Ennepetal (Gevelsberg) station, connectsTo, Iserlohn-Letmathe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iserlohn-Letmathe Context triple: [Ennepetal (Gevelsberg) station, connectsTo, Iserlohn-Letmathe]
-
A.
Iserlohn
chosen
Iserlohn is a city in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known historically for its role in World War II and its metalworking and industrial heritage.
-
B.
Lohne
Lohne is a town in Lower Saxony, Germany, known for its industrial economy and location within the Vechta district.
-
C.
Lohmar
Lohmar is a town in the Rhein-Sieg district of North Rhine-Westphalia, Germany, situated near Cologne and known for its green surroundings and residential character.
-
D.
Stadtlohn
Stadtlohn is a small town in western Germany’s Münsterland region, near the Dutch border, known for its rural character and local industry.
-
E.
Nordhorn
Nordhorn is a town in Lower Saxony, Germany, known as the administrative center of the Grafschaft Bentheim district near the Dutch border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e04b048190ac3a9913094b4625 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.