Triple
T1462865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiley-VCH |
E31551
|
entity |
| Predicate | notableJournalPublished |
P80
|
FINISHED |
| Object |
Particle & Particle Systems Characterization
Particle & Particle Systems Characterization is a peer-reviewed scientific journal focusing on the characterization, properties, and behavior of particles and particulate systems across chemistry, materials science, and related fields.
|
E166690
|
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: Particle & Particle Systems Characterization | Statement: [Wiley-VCH, notableJournalPublished, Particle & Particle Systems Characterization]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Particle & Particle Systems Characterization Context triple: [Wiley-VCH, notableJournalPublished, Particle & Particle Systems Characterization]
-
A.
Smoluchowski coagulation equation
The Smoluchowski coagulation equation is a fundamental integro-differential equation in statistical physics that models how particles undergoing random collisions aggregate over time into larger clusters.
-
B.
AVS Science and Technology of Materials, Interfaces, and Processing
AVS Science and Technology of Materials, Interfaces, and Processing is a professional society focused on advancing the science and technology of materials, surfaces, interfaces, and related processing techniques.
-
C.
Einstein bed-load function
The Einstein bed-load function is a seminal hydraulic engineering formula developed by Hans Albert Einstein to predict the transport rate of sediment particles rolling and sliding along a riverbed under flowing water.
-
D.
BP Institute for Multiphase Flow
The BP Institute for Multiphase Flow is a research center at the University of Cambridge specializing in the study and modeling of complex multiphase fluid flows relevant to natural processes and industrial applications.
-
E.
Gigatracker beam spectrometer
The Gigatracker beam spectrometer is a high-precision silicon pixel tracking system used in the NA62 experiment at CERN to measure the momentum and timing of individual particles in the high-intensity kaon beam.
- 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: Particle & Particle Systems Characterization Triple: [Wiley-VCH, notableJournalPublished, Particle & Particle Systems Characterization]
Generated description
Particle & Particle Systems Characterization is a peer-reviewed scientific journal focusing on the characterization, properties, and behavior of particles and particulate systems across chemistry, materials science, and related fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Particle & Particle Systems Characterization Target entity description: Particle & Particle Systems Characterization is a peer-reviewed scientific journal focusing on the characterization, properties, and behavior of particles and particulate systems across chemistry, materials science, and related fields.
-
A.
Smoluchowski coagulation equation
The Smoluchowski coagulation equation is a fundamental integro-differential equation in statistical physics that models how particles undergoing random collisions aggregate over time into larger clusters.
-
B.
AVS Science and Technology of Materials, Interfaces, and Processing
AVS Science and Technology of Materials, Interfaces, and Processing is a professional society focused on advancing the science and technology of materials, surfaces, interfaces, and related processing techniques.
-
C.
Einstein bed-load function
The Einstein bed-load function is a seminal hydraulic engineering formula developed by Hans Albert Einstein to predict the transport rate of sediment particles rolling and sliding along a riverbed under flowing water.
-
D.
BP Institute for Multiphase Flow
The BP Institute for Multiphase Flow is a research center at the University of Cambridge specializing in the study and modeling of complex multiphase fluid flows relevant to natural processes and industrial applications.
-
E.
Gigatracker beam spectrometer
The Gigatracker beam spectrometer is a high-precision silicon pixel tracking system used in the NA62 experiment at CERN to measure the momentum and timing of individual particles in the high-intensity kaon beam.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c9e02c188190b87c0aac939eafdd |
completed | March 1, 2026, 11:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e7ab538819090bc3e3ed1bbff64 |
completed | March 8, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69ad0f5106fc8190ab03c4e5a0287424 |
completed | March 8, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0fa4c7d48190ac84267c16c6eb00 |
completed | March 8, 2026, 5:56 a.m. |
Created at: March 1, 2026, 8 p.m.