Triple
T2426118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genthod |
E53529
|
entity |
| Predicate | borderedBy |
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: [Genthod, borderedBy, Versoix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Versoix Context triple: [Genthod, borderedBy, 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.
Inflection AI
Inflection AI is an artificial intelligence company focused on developing advanced conversational AI systems, co-founded by DeepMind co-founder Mustafa Suleyman.
-
C.
Genesys
Genesys is a global customer experience and contact center technology company known for its cloud-based solutions that help businesses manage and optimize customer interactions.
-
D.
Calliope
Calliope is the Muse of epic poetry in Greek mythology, often depicted as the chief of the nine Muses and associated with eloquence and heroic verse.
-
E.
WaveGlow
WaveGlow is a flow-based generative neural network model for fast, high-quality text-to-speech audio synthesis.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99b95548190b77d36de9adfe3bb |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf61088481909d79e822e4071456 |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 6, 2026, 9:42 p.m.