Triple
T7423843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mies |
E171317
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Versoix |
E29605
|
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: Versoix | Statement: [Mies, hasNeighboringMunicipality, Versoix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Versoix Context triple: [Mies, hasNeighboringMunicipality, Versoix]
-
A.
Versoix
chosen
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
-
B.
Vocia
Vocia is Biamp Systems’ networked paging and voice evacuation platform designed for scalable, distributed audio communication in commercial and public facilities.
-
C.
Whispersync for Voice
Whispersync for Voice is an Amazon feature that lets users seamlessly switch between reading a Kindle ebook and listening to its Audible audiobook counterpart while keeping their place synchronized.
-
D.
VOZ
VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
-
E.
Tellme Networks
Tellme Networks was a voice-recognition and interactive voice response (IVR) technology company best known for providing speech-enabled telephone services and platforms, later acquired by Microsoft.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2eece588190905774e7151edcb8 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8fa20137081909a21ac366c19407f |
completed | March 29, 2026, 10:08 a.m. |
Created at: March 27, 2026, 3:12 p.m.