Triple
T767425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilhelm Röntgen |
E16205
|
entity |
| Predicate | discovered |
P412
|
FINISHED |
| Object | X-rays |
E91523
|
NE FINISHED |
How this triple was built (2 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: X-rays | Statement: [Wilhelm Röntgen, discovered, X-rays]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: X-rays Context triple: [Wilhelm Röntgen, discovered, X-rays]
-
A.
Röntgen radiation
chosen
Röntgen radiation, more commonly known as X-rays, is a form of high-energy electromagnetic radiation widely used for medical imaging, material analysis, and scientific research.
-
B.
CT scanners
CT scanners are advanced medical imaging devices that use X-rays and computer processing to create detailed cross-sectional images of the body for diagnostic purposes.
-
C.
CT
CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
-
D.
CT
CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
-
E.
XRF
XRF is the IATA airport-style code assigned to Liverpool Lime Street railway station in Liverpool, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6a0fee08190bf365d14c007e008 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a66d994aa081908b748544f5d7f6ed |
completed | March 3, 2026, 5:11 a.m. |
Created at: March 1, 2026, 7:37 p.m.