Triple
T10826826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmocom project |
E255516
|
entity |
| Predicate | develops |
P73
|
FINISHED |
| Object |
OsmoTRX
OsmoTRX is an open-source software-defined radio transceiver implementation used in Osmocom-based mobile network infrastructure.
|
E886820
|
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: OsmoTRX | Statement: [Osmocom project, develops, OsmoTRX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OsmoTRX Context triple: [Osmocom project, develops, OsmoTRX]
-
A.
Ronin gimbals
Ronin gimbals are DJI’s professional camera stabilization systems designed to deliver smooth, cinematic footage for filmmakers and videographers.
-
B.
TREX
TREX is an XML schema language designed by James Clark that served as a precursor to the RELAX NG schema specification.
-
C.
Troinex
Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
-
D.
Trixter
Trixter is an American hard rock band best known for their early 1990s glam metal hits and MTV presence.
-
E.
Camera 2
Camera 2 is one of the imaging and spectroscopic modules within the Hubble Space Telescope’s Near Infrared Camera and Multi-Object Spectrometer, designed for observations in the near-infrared spectrum.
- 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: OsmoTRX Triple: [Osmocom project, develops, OsmoTRX]
Generated description
OsmoTRX is an open-source software-defined radio transceiver implementation used in Osmocom-based mobile network infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OsmoTRX Target entity description: OsmoTRX is an open-source software-defined radio transceiver implementation used in Osmocom-based mobile network infrastructure.
-
A.
Ronin gimbals
Ronin gimbals are DJI’s professional camera stabilization systems designed to deliver smooth, cinematic footage for filmmakers and videographers.
-
B.
TREX
TREX is an XML schema language designed by James Clark that served as a precursor to the RELAX NG schema specification.
-
C.
Troinex
Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
-
D.
Trixter
Trixter is an American hard rock band best known for their early 1990s glam metal hits and MTV presence.
-
E.
Camera 2
Camera 2 is one of the imaging and spectroscopic modules within the Hubble Space Telescope’s Near Infrared Camera and Multi-Object Spectrometer, designed for observations in the near-infrared spectrum.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d1c24881909f56d56207cccbef |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8592d8f08190ac577395ad7cc557 |
completed | April 14, 2026, 6:21 p.m. |
| NEDg | Description generation | batch_69de8956d9f081909d076c5e413c1f74 |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8e80fe80819088ac76bb5abc58f0 |
completed | April 14, 2026, 6:59 p.m. |
Created at: April 8, 2026, 9:19 p.m.