Triple
T16763430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lackhausen |
E407403
|
entity |
| Predicate | hasMunicipalAuthority |
P3379
|
FINISHED |
| Object | city of Wesel |
E972812
|
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: city of Wesel | Statement: [Lackhausen, hasMunicipalAuthority, city of Wesel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Wesel Context triple: [Lackhausen, hasMunicipalAuthority, city of Wesel]
-
A.
City of Wesel
chosen
The City of Wesel is a historic German town on the Lower Rhine that became an important Reformation and trading center in the early modern period.
-
B.
district of Wesel
The district of Wesel is an administrative district (Kreis) in the German state of North Rhine-Westphalia, located along the lower Rhine and encompassing a mix of industrial towns and rural communities.
-
C.
City of Essen
The City of Essen is a major urban center in Germany’s Ruhr area, historically significant as a medieval ecclesiastical seat and later as an important industrial and coal-mining hub.
-
D.
Wuppertal
Wuppertal is a city in western Germany known for its steep slopes, extensive parks, and the unique suspended monorail Wuppertal Schwebebahn.
-
E.
Oberhausen
Oberhausen is an industrial city in Germany’s Ruhr region, historically known for its coal and steel production and heavily affected by World War II bombing.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abee862c819086d9bf01e623a8ce |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfc0dcd081909f715e0f2aad67c7 |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:21 a.m.