Triple

T5481373
Position Surface form Disambiguated ID Type / Status
Subject GSM core network E123472 entity
Predicate usesProtocol P203 FINISHED
Object SS7 E409008 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: SS7 | Statement: [GSM core network, usesProtocol, SS7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SS7
Context triple: [GSM core network, usesProtocol, SS7]
  • A. SS7 chosen
    SS7 (Signaling System No. 7) is a global telecommunications signaling protocol suite used to set up and manage telephone calls, SMS, and other network services across public switched telephone networks.
  • B. Signaling System No. 7
    Signaling System No. 7 is a global telecommunications signaling protocol suite used to set up and manage telephone calls and other services across digital networks.
  • C. 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.
  • D. ISUP
    ISUP is a French higher education institution in Paris specializing in advanced studies and training in statistics and actuarial science.
  • E. 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.
  • 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_69bf6c812d4c8190a22f76b787ab0f10 completed March 22, 2026, 4:13 a.m.
Created at: March 20, 2026, 2:09 p.m.