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.