Triple
T13766641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warnemünde |
E330763
|
entity |
| Predicate | locatedAtMouthOf |
P165
|
FINISHED |
| Object | Warnow River |
E343391
|
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: Warnow River | Statement: [Warnemünde, locatedAtMouthOf, Warnow River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warnow River Context triple: [Warnemünde, locatedAtMouthOf, Warnow River]
-
A.
Warnow River
chosen
The Warnow River is a waterway in northeastern Germany that flows through the city of Rostock before emptying into the Baltic Sea.
-
B.
Örtze River
The Örtze River is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
-
C.
Inn River
The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
-
D.
Peene River
The Peene River is a lowland river in northeastern Germany, often called the "Amazon of the North" for its largely untouched wetlands and rich biodiversity.
-
E.
Lauch River
The Lauch River is a small waterway in northeastern France that flows through the historic city of Colmar, contributing to its picturesque canals and “Little Venice” district.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0227f2c48190983ccc9395e4e7a2 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2189c1cc819080dc296b17e42374 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 9, 2026, 10:10 p.m.