Triple
T19321713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baksan Neutrino Observatory |
E483240
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object | Gallium–Germanium Neutrino Telescope |
—
|
NE NERFINISHED |
How this triple was built (3 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: Gallium–Germanium Neutrino Telescope | Statement: [Baksan Neutrino Observatory, hasFacility, Gallium–Germanium Neutrino Telescope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gallium–Germanium Neutrino Telescope Context triple: [Baksan Neutrino Observatory, hasFacility, Gallium–Germanium Neutrino Telescope]
-
A.
IceCube Neutrino Observatory
The IceCube Neutrino Observatory is a massive, cubic-kilometer-scale neutrino detector embedded deep in Antarctic ice, designed to observe high-energy neutrinos from cosmic sources.
-
B.
Borexino
Borexino is a large liquid scintillator neutrino detector located at Italy’s Gran Sasso National Laboratory, designed to study low-energy solar and other neutrinos with extremely low background levels.
-
C.
Super-Kamiokande neutrino observatory
The Super-Kamiokande neutrino observatory is a large underground water Cherenkov detector in Japan designed to study neutrinos from the Sun, atmosphere, supernovae, and other cosmic sources, and to investigate neutrino oscillations and proton decay.
-
D.
AMANDA experiment
The AMANDA experiment was an early Antarctic neutrino telescope that pioneered the technique of using deep-ice Cherenkov detectors to observe high-energy neutrinos from cosmic sources.
-
E.
Baksan Neutrino Observatory
The Baksan Neutrino Observatory is a Russian underground research facility in the Caucasus Mountains dedicated to detecting neutrinos and studying rare subatomic processes in a low-background environment.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gallium–Germanium Neutrino Telescope Target entity description: The Gallium–Germanium Neutrino Telescope is a radiochemical solar neutrino detector that uses gallium targets and germanium extraction techniques to study low-energy neutrinos.
-
A.
IceCube Neutrino Observatory
The IceCube Neutrino Observatory is a massive, cubic-kilometer-scale neutrino detector embedded deep in Antarctic ice, designed to observe high-energy neutrinos from cosmic sources.
-
B.
Borexino
Borexino is a large liquid scintillator neutrino detector located at Italy’s Gran Sasso National Laboratory, designed to study low-energy solar and other neutrinos with extremely low background levels.
-
C.
Super-Kamiokande neutrino observatory
The Super-Kamiokande neutrino observatory is a large underground water Cherenkov detector in Japan designed to study neutrinos from the Sun, atmosphere, supernovae, and other cosmic sources, and to investigate neutrino oscillations and proton decay.
-
D.
AMANDA experiment
The AMANDA experiment was an early Antarctic neutrino telescope that pioneered the technique of using deep-ice Cherenkov detectors to observe high-energy neutrinos from cosmic sources.
-
E.
Baksan Neutrino Observatory
The Baksan Neutrino Observatory is a Russian underground research facility in the Caucasus Mountains dedicated to detecting neutrinos and studying rare subatomic processes in a low-background environment.
- F. None of above. chosen
Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d88951081909f7ce6e0610c7258 |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.