Triple
T15757973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mönchengladbach |
E382016
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Mönchengladbach-Mitte |
E382016
|
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: Mönchengladbach-Mitte | Statement: [Mönchengladbach, hasDistrict, Mönchengladbach-Mitte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mönchengladbach-Mitte Context triple: [Mönchengladbach, hasDistrict, Mönchengladbach-Mitte]
-
A.
Bergisch Gladbach
Bergisch Gladbach is a city in North Rhine-Westphalia, western Germany, known for its paper industry, proximity to Cologne, and surrounding Bergisches Land countryside.
-
B.
Wuppertal-Ost
Wuppertal-Ost is an eastern district of the German city of Wuppertal that encompasses neighborhoods such as Oberbarmen.
-
C.
Mönchengladbach
chosen
Mönchengladbach is a city in western Germany known for its textile industry heritage and its football club Borussia Mönchengladbach.
-
D.
Cologne-Deutz
Cologne-Deutz is a district on the eastern bank of the Rhine in Cologne, Germany, known for its trade fair grounds, arena, and major transport connections.
-
E.
Erkrath
Erkrath is a town in the German state of North Rhine-Westphalia, situated near Düsseldorf in the district of Mettmann.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b35ea48190a758ee76a57b5451 |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877311dc8190b55fe7ca5c0843da |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:47 a.m.