Triple

T6938836
Position Surface form Disambiguated ID Type / Status
Subject Rydberg constant E160621 entity
Predicate symbol P129 FINISHED
Object R∞
R∞ is the Rydberg constant, a fundamental physical constant that characterizes the limiting value of the highest wavenumber (or lowest wavelength) of any photon that can be emitted from the hydrogen atom.
E629516 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: R∞ | Statement: [Rydberg constant, symbol, R∞]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R∞
Context triple: [Rydberg constant, symbol, R∞]
  • A. R5
    R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • B. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • C. R-4
    The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
  • D. R4
    R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • E. R8
    The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
  • 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: R∞
Triple: [Rydberg constant, symbol, R∞]
Generated description
R∞ is the Rydberg constant, a fundamental physical constant that characterizes the limiting value of the highest wavenumber (or lowest wavelength) of any photon that can be emitted from the hydrogen atom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: R∞
Target entity description: R∞ is the Rydberg constant, a fundamental physical constant that characterizes the limiting value of the highest wavenumber (or lowest wavelength) of any photon that can be emitted from the hydrogen atom.
  • A. R5
    R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • B. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • C. R5
    R5 was a former designation for a commuter rail line in the SEPTA Regional Rail system serving the Paoli/Thorndale corridor in the Philadelphia area.
  • D. R-4
    The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
  • E. R4
    R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da62d2f88190968d3fea538a95c9 completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515509148190b5739cdf8cd7a28a completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c752c9b3d08190960d3c1aa88a93a7 completed March 28, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69c7537ea24c819081bb672d43d4a373 completed March 28, 2026, 4:05 a.m.
Created at: March 27, 2026, 2:28 p.m.