Triple
T14896559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uecker River |
E359890
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | town of Ueckermünde |
E586148
|
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: town of Ueckermünde | Statement: [Uecker River, flowsThrough, town of Ueckermünde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Ueckermünde Context triple: [Uecker River, flowsThrough, town of Ueckermünde]
-
A.
Ueckermünde
chosen
Ueckermünde is a small historic port town in northeastern Germany on the Szczecin Lagoon, known for its maritime heritage and access to the Baltic Sea.
-
B.
town of Tangermünde
The town of Tangermünde is a historic German town on the Elbe River, renowned for its well-preserved medieval architecture and brick Gothic buildings.
-
C.
Himmerich
Himmerich is a hill in Germany’s Siebengebirge range, known for its forested slopes and hiking trails overlooking the Rhine valley.
-
D.
Weickede
Weickede is a village-level subdivision of the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
-
E.
Reckenwalde
Reckenwalde is the former German name of the village now known as Wojnowo in western Poland’s Lubusz Voivodeship.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6070b248190be8f4f91a0c0b1f3 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b679fb081908cf8f41acfba3b99 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 2:11 a.m.