Triple
T11022358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swabian War |
E260520
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Grisons |
E283201
|
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: Grisons | Statement: [Swabian War, location, Grisons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grisons Context triple: [Swabian War, location, Grisons]
-
A.
Grisons
chosen
Grisons is the largest and easternmost canton of Switzerland, known for its mountainous Alpine landscapes and multilingual culture (German, Romansh, and Italian).
-
B.
Ticino
Ticino is a major river in northern Italy and Switzerland that flows through the Swiss canton of Ticino and Lombardy before joining the Po River.
-
C.
Unterwalden
Unterwalden was one of the original forest cantons of central Switzerland, historically forming a founding member of the Old Swiss Confederacy.
-
D.
Port-Valais
Port-Valais is a small Swiss municipality in the canton of Valais, located near the eastern end of Lake Geneva and known for its scenic lakeside and Rhône delta landscapes.
-
E.
Upper Valais
Upper Valais is the predominantly German-speaking, mountainous eastern part of the Swiss canton of Valais, known for its Alpine landscapes, glaciers, and major ski 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bd88188190a644adc9283cabb8 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd646ee860819083277b15aaf510fd |
completed | May 8, 2026, 4:19 a.m. |
Created at: April 8, 2026, 9:25 p.m.