Triple
T1077266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UMTS |
E23867
|
entity |
| Predicate | successorOf |
P78
|
FINISHED |
| Object | GSM |
E123436
|
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: GSM | Statement: [UMTS, successorOf, GSM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GSM Context triple: [UMTS, successorOf, GSM]
-
A.
GSM
chosen
GSM is a second-generation (2G) digital mobile communication standard that became the global foundation for cellular voice and basic data services.
-
B.
GSM core network
The GSM core network is the central backbone of GSM mobile systems, handling key functions such as switching, mobility management, authentication, and interconnection with other networks.
-
C.
UMTS
UMTS is a third-generation (3G) mobile telecommunications system that provides higher-speed voice and data services over cellular networks.
-
D.
SIM
SIM is the commonly used abbreviation for the Science and Industry Museum in Manchester, a major UK museum dedicated to the history and impact of science, technology, and industry.
-
E.
LTE
LTE (Long Term Evolution) is a high-speed wireless communication standard for mobile devices and data terminals, widely used as the foundation of 4G cellular networks.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b94288d88190aae4fb86236c0702 |
completed | March 1, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c2247888190a7ab75b447b4773f |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:42 p.m.