Triple
T16852204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC Brown Boveri |
E409700
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Baden, Aargau |
—
|
NE ONNED1 |
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: Baden, Aargau | Statement: [BBC Brown Boveri, basedIn, Baden, Aargau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baden, Aargau Context triple: [BBC Brown Boveri, basedIn, Baden, Aargau]
-
A.
Adliswil
Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
-
B.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
-
C.
Dietlikon
Dietlikon is a municipality in the canton of Zurich in northern Switzerland, known for its residential areas and commercial zones within the Zurich metropolitan region.
-
D.
Würenlingen
Würenlingen is a municipality in the canton of Aargau in northern Switzerland, known for its residential character and proximity to the Aare River and regional transport links.
-
E.
Baden, Switzerland
chosen
Baden, Switzerland is a historic spa town in the canton of Aargau known for its thermal baths and picturesque setting along the Limmat River.
- 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_69e3b37abadc81909d02d329403497d6 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01954069e0819087fab0a782a83f39 |
finalizing | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:24 a.m.