Triple
T15187722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayen-Koblenz |
E362920
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Winningen |
E796990
|
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: Winningen | Statement: [Mayen-Koblenz, containsMunicipality, Winningen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winningen Context triple: [Mayen-Koblenz, containsMunicipality, Winningen]
-
A.
Winningen
chosen
Winningen is a small wine-growing municipality on the Moselle River in western Germany, known for its picturesque vineyards and historic village character.
-
B.
Winsum
Winsum is a historic village and former municipality in the Dutch province of Groningen, known for its old churches, windmills, and picturesque canals.
-
C.
Würselen
Würselen is a town in western Germany’s state of North Rhine-Westphalia, located near the city of Aachen and known historically for its mining and industrial heritage.
-
D.
Rudolfswerth
Rudolfswerth is the former German name for Novo Mesto, a historic town in southeastern Slovenia known for its medieval heritage and role as a regional cultural center.
-
E.
Willebadessen
Willebadessen is a small town in western Germany, located in the state of North Rhine-Westphalia.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067995fc8190b048f15086bd42f0 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01dc23d081908ad6985bae5741ce |
completed | May 9, 2026, 9:43 a.m. |
Created at: April 10, 2026, 3:09 a.m.