Triple
T16471354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murg Valley |
E400068
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Murg River |
E1179224
|
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: Murg River | Statement: [Murg Valley, namedAfter, Murg River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murg River Context triple: [Murg Valley, namedAfter, Murg River]
-
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.
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.
-
D.
Trient River
The Trient River is a mountain river in the Swiss Alps that flows through the Trient Valley before joining the Rhône.
-
E.
Begna River
The Begna River is a significant river in southeastern Norway that flows through several valleys and towns, including the area around the town of Hønefoss.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd0d2fc81909b68b5afb00f192f |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084aa47408190abe2ffaab84cdd85 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:11 a.m.