Triple

T2888333
Position Surface form Disambiguated ID Type / Status
Subject Nokia 1100 series E59559 entity
Predicate networkTechnology P3937 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: [Nokia 1100 series, networkTechnology, GSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GSM
Context triple: [Nokia 1100 series, networkTechnology, GSM]
  • A. GSM
    GSM is the common abbreviation for Great St Mary’s Church, the historic University Church located in the center of Cambridge, England.
  • B. GSM chosen
    GSM is a second-generation (2G) digital mobile communication standard that became the global foundation for cellular voice and basic data services.
  • 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. 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.
  • E. UMTS
    UMTS is a third-generation (3G) mobile telecommunications system that provides higher-speed voice and data services over 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe04918908190aad08defd1b26d97 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0317601688190a8a99644579b137c completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:03 p.m.