Triple
T17854390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Möll River |
E445891
|
entity |
| Predicate | hasValley |
P650
|
FINISHED |
| Object | Mölltal |
—
|
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: Mölltal | Statement: [Möll River, hasValley, Mölltal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mölltal Context triple: [Möll River, hasValley, Mölltal]
-
A.
Mölltal
chosen
Mölltal is a scenic alpine valley in the Austrian state of Carinthia, known for its access to the Hohe Tauern mountains and year-round glacier skiing.
-
B.
Pitztal
Pitztal is a valley in the Austrian Tyrol known for its high alpine scenery, glacier skiing, and access to prominent peaks in the Ötztal Alps.
-
C.
Landwassertal
Landwassertal is a valley in the Swiss canton of Graubünden, known for its dramatic alpine landscape and the famous Landwasser Viaduct of the Rhaetian Railway.
-
D.
Möckmühl
Möckmühl is a small historic town in the German state of Baden-Württemberg, known for its medieval old town and castle.
-
E.
Möttlingen
Möttlingen is a village and district of the spa town Bad Liebenzell in the northern Black Forest region of Baden-Württemberg, Germany.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e49001d8b881908c8d4efc3d7ff04f |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:17 a.m.