Triple

T24600928
Position Surface form Disambiguated ID Type / Status
Subject Paul trap E608818 entity
Predicate trapTypeVariant P32024 FINISHED
Object linear Paul trap
A linear Paul trap is a type of radio-frequency ion trap that uses a set of parallel rod electrodes to confine charged particles in a line for precision experiments in fields like quantum computing and spectroscopy.
 E1640653 NE FINISHED

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: linear Paul trap | Statement: [Paul trap, trapTypeVariant, linear Paul trap]
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: linear Paul trap
Triple: [Paul trap, trapTypeVariant, linear Paul trap]
Generated description
A linear Paul trap is a type of radio-frequency ion trap that uses a set of parallel rod electrodes to confine charged particles in a line for precision experiments in fields like quantum computing and spectroscopy.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: trapTypeVariant
Context triple: [Paul trap, trapTypeVariant, linear Paul trap]
  • A. trapType
    Indicates the specific kind or category of trap associated with an entity or situation.
  • B. trapTrigger
    Indicates that an entity activates or sets off a trap in the environment.
  • C. trap
    Indicates that an entity captures, confines, or ensnares another entity, typically preventing its escape or movement.
  • D. trapLocation
    Indicates the specific place or area where a trap is set, located, or expected to be found.
  • E. hasTrapType chosen
    Indicates that an entity is associated with, or characterized by, a specific type or category of trap.
  • F. None of above.

Provenance (6 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_69e2c4d060e08190ac9f7c49b1036e20 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff88a53b48190b31544940ac1a633 completed May 22, 2026, 6:32 a.m.
NEDg Description generation batch_6a0ff9cdbbe08190b9c04acc258a32e4 completed May 22, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffa70e32c81909345bb45de585d83 completed May 22, 2026, 6:40 a.m.
PD Predicate disambiguation batch_69f2a6ca751c8190a040c10d701ecf3a completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:30 a.m.