Triple
T9179568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bottrop |
E220286
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Gladbeck |
E495844
|
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: Gladbeck | Statement: [Bottrop, borderedBy, Gladbeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gladbeck Context triple: [Bottrop, borderedBy, Gladbeck]
-
A.
Gladbeck
chosen
Gladbeck is a town in western Germany’s North Rhine-Westphalia, historically shaped by coal mining and now part of the broader Ruhr industrial region.
-
B.
Grevenbroich
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.
-
C.
Bergkamen
Bergkamen is a town in North Rhine-Westphalia, Germany, known for its coal mining heritage and post-war planned urban development.
-
D.
Hörden
Hörden is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany, known for its location in the northern Black Forest region.
-
E.
Remscheid
Remscheid is a city in North Rhine-Westphalia, Germany, known historically for its metalworking industry and as the birthplace of physicist Wilhelm Röntgen.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc25064588190856c96b229d9cd60 |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054b5512c8190aa7909ef8b56b186 |
completed | April 4, 2026, midnight |
Created at: March 30, 2026, 7:23 p.m.