Triple
T20779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CERN |
E412
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Geneva, Switzerland |
E414
|
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: Geneva, Switzerland | Statement: [CERN, locatedNear, Geneva, Switzerland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geneva, Switzerland Context triple: [CERN, locatedNear, Geneva, Switzerland]
-
A.
Geneva
chosen
Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
-
B.
Meyrin, Canton of Geneva, Switzerland
Meyrin is a municipality in the Canton of Geneva in southwestern Switzerland best known for hosting the main campus of the European Organization for Nuclear Research (CERN).
-
C.
Swiss Patent Office in Bern
The Swiss Patent Office in Bern was the government institution where Albert Einstein worked as a technical expert while developing many of his groundbreaking ideas in physics.
-
D.
Vichy
Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
-
E.
Paris
Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
- 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_69a240778d288190815c0052ebbbcc91 |
completed | Feb. 28, 2026, 1:10 a.m. |
| NER | Named-entity recognition | batch_69a24669427481908b3369f090ea8edc |
completed | Feb. 28, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e57e3fc8190a3ce561a4692115c |
completed | Feb. 28, 2026, 2:09 a.m. |
Created at: Feb. 28, 2026, 1:14 a.m.