Triple
T5481263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Core Network and Terminals |
E123470
|
entity |
| Predicate | appliesTo |
P1129
|
FINISHED |
| Object | GSM systems |
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 systems | Statement: [Core Network and Terminals, appliesTo, GSM systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GSM systems Context triple: [Core Network and Terminals, appliesTo, GSM systems]
-
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
GSM is the common abbreviation for Great St Mary’s Church, the historic University Church located in the center of Cambridge, England.
-
C.
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.
-
D.
GSM-R
GSM-R is a digital radio communication system used across European railways to provide secure voice and data links between trains and railway control centers.
-
E.
Mobile Networks
Mobile Networks is a Nokia business segment focused on providing mobile telecommunications infrastructure, technologies, and services for wireless network operators.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd924a2eb08190b759b23a6eab5e0a |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48a2880c8190ad76cf8c3862aede |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:09 p.m.