Triple
T327784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antiproton Decelerator |
E6557
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Meyrin |
E47537
|
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: Meyrin | Statement: [Antiproton Decelerator, locatedIn, Meyrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meyrin Context triple: [Antiproton Decelerator, locatedIn, Meyrin]
-
A.
Meyrin
chosen
Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
-
B.
Genthod
Genthod is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
-
C.
Bardonnex
Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
-
D.
Bernex
Bernex is a municipality in western Switzerland located near the city of Geneva, known for its semi-rural character and surrounding vineyards.
-
E.
Collonge-Bellerive
Collonge-Bellerive is a lakeside municipality in western Switzerland known for its residential character and location on the southern shore of Lake Geneva.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea98fa2c8190a5b44f4a26543a17 |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5089817248190b53d78e5b937026b |
completed | March 2, 2026, 3:48 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.