Triple
T16863047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disentis/Mustér |
E409968
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object | Surselva |
E566529
|
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: Surselva | Statement: [Disentis/Mustér, locatedInRegion, Surselva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surselva Context triple: [Disentis/Mustér, locatedInRegion, Surselva]
-
A.
Surselva
chosen
Surselva is a mountainous district in the canton of Graubünden in eastern Switzerland, known for its Romansh-speaking communities, alpine landscapes, and traditional villages.
-
B.
Traun River
The Traun River is a major tributary of the Danube in Austria, flowing through the Salzkammergut lake district and the state of Upper Austria.
-
C.
Enns
Enns is a major river in Austria that flows through the Alps and forms part of the border between Upper and Lower Austria before joining the Danube.
-
D.
Erms river
The Erms river is a tributary of the Neckar in Baden-Württemberg, Germany, flowing through the Swabian Jura and the district of Reutlingen.
-
E.
Seerhein
Seerhein is a short stretch of the Rhine River connecting the Untersee and Obersee basins of Lake Constance along the Swiss-German border.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50488fc8190b3b646543c3ba476 |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb274ba48190951acde0821e05a0 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.