Triple
T10983752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OsmocomBB |
E259572
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
OsmoNITB
OsmoNITB is an open-source GSM network-in-a-box implementation from the Osmocom project that provides a complete minimal mobile network core for testing and research.
|
E898105
|
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: OsmoNITB | Statement: [OsmocomBB, relatedTo, OsmoNITB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OsmoNITB Context triple: [OsmocomBB, relatedTo, OsmoNITB]
-
A.
OsmoBSC
OsmoBSC is an open-source Base Station Controller software from the Osmocom project used to manage and control GSM base stations in mobile networks.
-
B.
OsmoMSC
OsmoMSC is an open-source mobile switching center software from the Osmocom project used to handle call control and mobility management in GSM networks.
-
C.
OsmoTRX
OsmoTRX is an open-source software-defined radio transceiver implementation used in Osmocom-based mobile network infrastructure.
-
D.
OsmoHLR
OsmoHLR is an open-source Home Location Register software component from the Osmocom project used for managing subscriber data in mobile networks.
-
E.
OSN
OSN is the IATA airport code for Osan Air Base, a major United States Air Force installation in South Korea.
- 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: OsmoNITB Triple: [OsmocomBB, relatedTo, OsmoNITB]
Generated description
OsmoNITB is an open-source GSM network-in-a-box implementation from the Osmocom project that provides a complete minimal mobile network core for testing and research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OsmoNITB Target entity description: OsmoNITB is an open-source GSM network-in-a-box implementation from the Osmocom project that provides a complete minimal mobile network core for testing and research.
-
A.
OsmoBSC
OsmoBSC is an open-source Base Station Controller software from the Osmocom project used to manage and control GSM base stations in mobile networks.
-
B.
OsmoMSC
OsmoMSC is an open-source mobile switching center software from the Osmocom project used to handle call control and mobility management in GSM networks.
-
C.
OsmoTRX
OsmoTRX is an open-source software-defined radio transceiver implementation used in Osmocom-based mobile network infrastructure.
-
D.
OsmoHLR
OsmoHLR is an open-source Home Location Register software component from the Osmocom project used for managing subscriber data in mobile networks.
-
E.
OSN
OSN is the IATA airport code for Osan Air Base, a major United States Air Force installation in South Korea.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772ec55fc81909b2b15f2493dddc6 |
completed | April 9, 2026, 9:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344d860b08190a035570191c54d7c |
completed | April 18, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e3556e8b408190a02a1fe194ae5750 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3591ecd548190b049ce95fe3f86d9 |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:24 p.m.