Triple
T16544779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vionnaz |
E401913
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Verossaz |
E1220041
|
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: Verossaz | Statement: [Vionnaz, hasSubdivision, Verossaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verossaz Context triple: [Vionnaz, hasSubdivision, Verossaz]
-
A.
Vérossaz
chosen
Vérossaz is a small Swiss municipality in the canton of Valais, located in the mountainous region above the Rhône valley.
-
B.
Verri
Verri is an Italian surname most notably associated with the 18th-century Milanese intellectual family that included writer and jurist Alessandro Verri.
-
C.
Veroia
Veroia is a historic city in northern Greece, known for its Byzantine churches, Ottoman-era architecture, and proximity to the ancient Macedonian site of Vergina.
-
D.
Valsayn
Valsayn is a suburban residential community in Trinidad and Tobago known for its middle- to upper-income housing and proximity to the Eastern Main Road and major urban centers.
-
E.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34560daf08190b353b415d8ab280d |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ed9fa988190892ca20939080f5f |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:15 a.m.