Triple
T10688726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audrey Kathleen Ruston |
E251948
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Tolochenaz |
E750348
|
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: Tolochenaz | Statement: [Audrey Kathleen Ruston, deathPlace, Tolochenaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tolochenaz Context triple: [Audrey Kathleen Ruston, deathPlace, Tolochenaz]
-
A.
Tolochenaz
chosen
Tolochenaz is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its quiet residential character and proximity to Lausanne.
-
B.
Vésenaz
Vésenaz is a residential village in the canton of Geneva, Switzerland, situated on the shores of Lake Geneva and forming part of the municipality of Collonge-Bellerive.
-
C.
Buochs
Buochs is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and proximity to the Alps in central Switzerland.
-
D.
Zachenberg
Zachenberg is a small municipality in the Bavarian Forest region of southeastern Germany.
-
E.
Tavannes
Tavannes is a municipality in the Jura bernois administrative district of the canton of Bern in Switzerland, known for its watchmaking heritage and location in the Jura Mountains.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd1aef888190ba92474af3a49e36 |
completed | April 9, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9889d1f988190938be54771161b00 |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:11 p.m.