Triple

T6402551
Position Surface form Disambiguated ID Type / Status
Subject 3GPP E144097 entity
Predicate standardizes P1371 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: [3GPP, standardizes, GSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GSM
Context triple: [3GPP, standardizes, 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. GPRS
    GPRS (General Packet Radio Service) is a mobile data standard that enables packet-switched internet and multimedia services over 2G and 3G cellular 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. D-AMPS
    D-AMPS (Digital Advanced Mobile Phone System) is a second-generation (2G) digital mobile telephony standard that evolved from the analog AMPS system to provide improved capacity and voice quality.
  • 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068ade8c881908a0472f1de6b7c21 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638a6e6248190bda7ad3fbd8f4746 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:35 p.m.