Triple
T16381269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soest district |
E397811
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Möhne River |
E300533
|
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: Möhne River | Statement: [Soest district, traversedBy, Möhne River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Möhne River Context triple: [Soest district, traversedBy, Möhne River]
-
A.
Möhne River
chosen
The Möhne River is a waterway in North Rhine-Westphalia, Germany, known for the large reservoir and hydroelectric infrastructure associated with the Möhne Dam.
-
B.
Schwalm River
The Schwalm River is a waterway in the German state of Hesse that lends its name to the surrounding Schwalm-Eder region.
-
C.
river Sieg
The river Sieg is a tributary of the Rhine in western Germany, flowing through North Rhine-Westphalia and Rhineland-Palatinate and giving its name to several nearby towns.
-
D.
Fulda River
The Fulda River is a major river in central Germany that flows through the state of Hesse and joins the Werra River at Hann. Münden to form the Weser.
-
E.
Rheine
Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319dd0e0c8190812bde6a2f7d9644 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c790ec64819084277c156f38a7de |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 5:08 a.m.