Triple
T1161190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Tracking System |
E24493
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
Silicon Drift Detector
A Silicon Drift Detector is a type of semiconductor radiation detector that uses lateral electric fields to drift charge carriers to a small collecting anode, enabling high energy resolution and fast, low-noise signal readout in applications such as particle tracking and X-ray spectroscopy.
|
E133818
|
NE FINISHED |
How this triple was built (4 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: Silicon Drift Detector | Statement: [Inner Tracking System, hasComponent, Silicon Drift Detector]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silicon Drift Detector Context triple: [Inner Tracking System, hasComponent, Silicon Drift Detector]
-
A.
Photon Spectrometer
The Photon Spectrometer is a specialized detector subsystem of the ALICE experiment at CERN designed to precisely measure and analyze high-energy photons produced in heavy-ion collisions.
-
B.
Transition Radiation Detector
The Transition Radiation Detector is a particle physics instrument that identifies high-energy charged particles—especially electrons—by detecting the X-ray photons they emit when crossing boundaries between materials at relativistic speeds.
-
C.
RICH detector
The RICH detector is a ring-imaging Cherenkov device used in the NA62 experiment at CERN to identify charged particles by measuring the Cherenkov light they emit.
-
D.
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.
-
E.
Micromegas detectors
Micromegas detectors are high-granularity gaseous particle detectors that provide precise tracking and fast timing for high-energy physics experiments.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Silicon Drift Detector Triple: [Inner Tracking System, hasComponent, Silicon Drift Detector]
Generated description
A Silicon Drift Detector is a type of semiconductor radiation detector that uses lateral electric fields to drift charge carriers to a small collecting anode, enabling high energy resolution and fast, low-noise signal readout in applications such as particle tracking and X-ray spectroscopy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silicon Drift Detector Target entity description: A Silicon Drift Detector is a type of semiconductor radiation detector that uses lateral electric fields to drift charge carriers to a small collecting anode, enabling high energy resolution and fast, low-noise signal readout in applications such as particle tracking and X-ray spectroscopy.
-
A.
Photon Spectrometer
The Photon Spectrometer is a specialized detector subsystem of the ALICE experiment at CERN designed to precisely measure and analyze high-energy photons produced in heavy-ion collisions.
-
B.
Transition Radiation Detector
The Transition Radiation Detector is a particle physics instrument that identifies high-energy charged particles—especially electrons—by detecting the X-ray photons they emit when crossing boundaries between materials at relativistic speeds.
-
C.
RICH detector
The RICH detector is a ring-imaging Cherenkov device used in the NA62 experiment at CERN to identify charged particles by measuring the Cherenkov light they emit.
-
D.
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.
-
E.
Micromegas detectors
Micromegas detectors are high-granularity gaseous particle detectors that provide precise tracking and fast timing for high-energy physics experiments.
- F. None of above. chosen
Provenance (5 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcb1915081908834ced85d09e299 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac667d2bdc8190b7d797683a4d3fe8 |
completed | March 7, 2026, 5:55 p.m. |
| NEDg | Description generation | batch_69ac66e3fecc81908638052a417ce4ab |
completed | March 7, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac67ab1ab48190b857bd473e741417 |
completed | March 7, 2026, 6 p.m. |
Created at: March 1, 2026, 7:45 p.m.