Triple
T1912530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellevue |
E38140
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Pregny-Chambésy |
E9288
|
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: Pregny-Chambésy | Statement: [Bellevue, hasBorderWith, Pregny-Chambésy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pregny-Chambésy Context triple: [Bellevue, hasBorderWith, Pregny-Chambésy]
-
A.
Pregny-Chambésy
chosen
Pregny-Chambésy is a small, affluent municipality on the shores of Lake Geneva in the canton of Geneva, Switzerland, known for hosting several international organizations and diplomatic missions.
-
B.
Balemartine
Balemartine is a small coastal village located on the island of Tiree in Scotland’s Inner Hebrides.
-
C.
Sarine
The Sarine is a major river in western Switzerland that flows through the canton of Fribourg and ultimately joins the Aare.
-
D.
Versonnex
Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
E.
Plegridy
Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1e15f148190bf834ec5f3abf83e |
completed | March 7, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeb01a3448190aa2cb19be977fd67 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.