Triple
T6122845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ioannis Giomataris |
E136523
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Micromegas detector community |
E25675
|
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: Micromegas detector community | Statement: [Ioannis Giomataris, associatedWith, Micromegas detector community]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Micromegas detector community Context triple: [Ioannis Giomataris, associatedWith, Micromegas detector community]
-
A.
Micromegas detectors
chosen
Micromegas detectors are high-granularity gaseous particle detectors that provide precise tracking and fast timing for high-energy physics experiments.
-
B.
DØ detector
The DØ detector is a large particle physics experiment at Fermilab’s Tevatron collider designed to study high-energy proton–antiproton collisions and probe fundamental particles and forces.
-
C.
Cherenkov detectors
Cherenkov detectors are particle detectors that identify and measure high-speed charged particles by capturing the characteristic light they emit when traveling faster than the speed of light in a medium.
-
D.
K_L and muon detector
The K_L and muon detector is a Belle II subdetector designed to identify long-lived neutral kaons and muons by detecting their interactions in layers of absorber and active material surrounding the inner detector components.
-
E.
LHC detector R&D
LHC detector R&D is the program of research and development focused on designing, testing, and improving particle detectors for experiments at the Large Hadron Collider.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c247b7081909972b40afb165e6f |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14165f3e88190903120d4b2ff6189 |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:14 p.m.