Triple
T19528034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Rotenfels |
E488582
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | River Murg |
—
|
NE NERFINISHED |
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: River Murg | Statement: [Bad Rotenfels, locatedOn, River Murg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Murg Context triple: [Bad Rotenfels, locatedOn, River Murg]
-
A.
River Murg
chosen
The River Murg is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine near the town of Rastatt.
-
B.
Arpath River
Arpath River is a mountain river in the Anantnag district of Jammu and Kashmir, India, known for its cold, clear waters fed by Himalayan glaciers and springs.
-
C.
Rodach River
The Rodach River is a watercourse in northern Bavaria, Germany, that flows through the Kronach district and serves as a tributary of the Main River.
-
D.
Lorze River
The Lorze River is a Swiss river in the canton of Zug, known for flowing through the Ägeri Valley and the Höllgrotten caves before joining the Reuss.
-
E.
Lasne River
The Lasne River is a small watercourse in central Belgium that flows through the Walloon Brabant region before joining the Dyle River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363d43148190af25caaa57accf9b |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.