Triple
T11325698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uerdingen |
E268210
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Meerbusch |
E748188
|
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: Meerbusch | Statement: [Uerdingen, locatedNear, Meerbusch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meerbusch Context triple: [Uerdingen, locatedNear, Meerbusch]
-
A.
Meerbusch
chosen
Meerbusch is a town in the German state of North Rhine-Westphalia, situated on the west bank of the Rhine near Düsseldorf and known for its affluent residential areas and green surroundings.
-
B.
Puchheim
Puchheim is a small town in Upper Bavaria, Germany, situated near Munich and known as a residential and commuter community.
-
C.
Scheyern
Scheyern is a Bavarian municipality best known as the site of Scheyern Abbey, a historic Benedictine monastery and ancestral seat of the Wittelsbach family.
-
D.
Sulzheim
Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
E.
Müggelheim
Müggelheim is a village-like district in the southeastern part of Berlin, Germany, characterized by its forests, lakes, and tranquil, semi-rural atmosphere.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e2253881909518cad0f12ef612 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e3185fc81908c1b838e6883de2f |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.