Triple
T10892317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haselünne |
E257208
|
entity |
| Predicate | hasGeographicalFeature |
P1094
|
FINISHED |
| Object | Hase River valley |
E374941
|
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: Hase River valley | Statement: [Haselünne, hasGeographicalFeature, Hase River valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hase River valley Context triple: [Haselünne, hasGeographicalFeature, Hase River valley]
-
A.
Hase River region
chosen
The Hase River region is an area in northwestern Germany characterized by the course of the Hase River and the surrounding rural landscapes and towns.
-
B.
Saale River valley
The Saale River valley is a scenic river landscape in central Germany characterized by winding waterways, steep slopes, and a mix of forests, vineyards, and historic towns.
-
C.
Neiße valley
The Neiße valley is a scenic river valley along the Lusatian Neisse on the German-Polish border, known for its natural landscapes and historic towns such as Görlitz.
-
D.
Wuhle Valley
Wuhle Valley is a river valley in Berlin, Germany, shaped by and named after the Wuhle River.
-
E.
Isar valley
The Isar valley is a scenic river valley in Bavaria, Germany, known for its picturesque landscapes, forests, and traditional towns along the Isar River.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75206354881908b148f2df3938513 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e1550d6b4081909483c5dfa6e85671 |
completed | April 16, 2026, 9:30 p.m. |
Created at: April 8, 2026, 9:21 p.m.