Triple
T13114150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vorpommern-Greifswald |
E311048
|
entity |
| Predicate | hasMajorRiver |
P165
|
FINISHED |
| Object | Uecker |
E871015
|
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: Uecker | Statement: [Vorpommern-Greifswald, hasMajorRiver, Uecker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uecker Context triple: [Vorpommern-Greifswald, hasMajorRiver, Uecker]
-
A.
Uecker
chosen
Uecker is a German surname most prominently associated with Günther Uecker, a renowned contemporary artist known for his nail relief works and contributions to the ZERO movement.
-
B.
Ecker
Ecker is a river in central Germany that serves as a tributary of the Oker, flowing through the Harz region.
-
C.
Eckstein
Eckstein is a German-origin surname borne by various notable individuals across fields such as sports, academia, and the arts.
-
D.
Uwe
Uwe is a masculine given name of German origin, commonly associated with notable figures such as the legendary footballer Uwe Seeler.
-
E.
Ehmke
Ehmke is a German-origin surname borne by various notable individuals, including figures in sports, music, and academia.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28105c481908781775ba489c296 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:06 p.m.