Triple
T16482372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mastrils |
E400351
|
entity |
| Predicate | mergerInto |
P77
|
FINISHED |
| Object | Landquart |
E382572
|
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: Landquart | Statement: [Mastrils, mergerInto, Landquart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landquart Context triple: [Mastrils, mergerInto, Landquart]
-
A.
Landquart
chosen
Landquart is a river in eastern Switzerland that flows through the canton of Graubünden before joining the Alpine Rhine.
-
B.
Richterswil
Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland.
-
C.
Grenchen
Grenchen is a Swiss town in the canton of Solothurn known for its watchmaking industry and location at the foot of the Jura Mountains.
-
D.
Silvaplana
Silvaplana is a picturesque municipality in Switzerland’s Upper Engadine region, known for its lakes, mountain scenery, and popular wind- and kitesurfing conditions.
-
E.
Visp
Visp is a small town in the canton of Valais in southwestern Switzerland, situated in the Rhône valley and known as a regional transport hub and gateway to nearby Alpine resorts.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e03643881908b16ddb9004af5d0 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aae69d1481909f5514cc496f45b5 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:13 a.m.