Triple
T22695754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ILD Detailed Baseline Design |
E561167
|
entity |
| Predicate | describes |
P264
|
FINISHED |
| Object | International Large Detector |
—
|
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: International Large Detector | Statement: [ILD Detailed Baseline Design, describes, International Large Detector]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: International Large Detector Context triple: [ILD Detailed Baseline Design, describes, International Large Detector]
-
A.
Irvine–Michigan–Brookhaven detector
The Irvine–Michigan–Brookhaven detector was a large underground water Cherenkov experiment best known for detecting neutrinos from Supernova 1987A and searching for proton decay.
-
B.
Large Hadron Collider
The Large Hadron Collider is the world’s largest and most powerful particle accelerator, used to smash subatomic particles together at unprecedented energies to study fundamental physics, including the Higgs boson.
-
C.
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.
-
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.
Sudbury Neutrino Observatory
The Sudbury Neutrino Observatory is a deep underground Canadian physics facility that made landmark measurements of solar neutrinos, providing key evidence for neutrino oscillations and mass.
- 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: International Large Detector Target entity description: The International Large Detector is a proposed high-precision particle physics detector concept designed for experiments at a future International Linear Collider, optimized for detailed studies of fundamental particles and their interactions.
-
A.
Irvine–Michigan–Brookhaven detector
The Irvine–Michigan–Brookhaven detector was a large underground water Cherenkov experiment best known for detecting neutrinos from Supernova 1987A and searching for proton decay.
-
B.
Large Hadron Collider
The Large Hadron Collider is the world’s largest and most powerful particle accelerator, used to smash subatomic particles together at unprecedented energies to study fundamental physics, including the Higgs boson.
-
C.
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.
-
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.
Sudbury Neutrino Observatory
The Sudbury Neutrino Observatory is a deep underground Canadian physics facility that made landmark measurements of solar neutrinos, providing key evidence for neutrino oscillations and mass.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789e05d88190b9d51bb3f8e3e9d4 |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:14 p.m.