Triple

T6042242
Position Surface form Disambiguated ID Type / Status
Subject Time Division Multiple Access E134574 entity
Predicate usedIn P98 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: [Time Division Multiple Access, usedIn, GSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GSM
Context triple: [Time Division Multiple Access, usedIn, 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
    GSM is the common abbreviation for Great St Mary’s Church, the historic University Church located in the center of Cambridge, England.
  • 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. 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e108fc81908775d176ff960fad completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139793708190b14c83d4197a33a0 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:08 p.m.