Triple

T7040302
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 745 E163491 entity
Predicate safetySystem P840 FINISHED
Object GSM-R E273829 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-R | Statement: [British Rail Class 745, safetySystem, GSM-R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GSM-R
Context triple: [British Rail Class 745, safetySystem, GSM-R]
  • A. GSM-R chosen
    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.
  • 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
    GSM is a second-generation (2G) digital mobile communication standard that became the global foundation for cellular voice and basic data services.
  • D. TETRA
    TETRA is a professional mobile radio and wireless communications standard widely used by public safety, emergency services, and critical infrastructure organizations for secure, reliable digital voice and data.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e22544708190b0dffb5256d4cda6 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775afabbc8190a6ff263b1a996c9c completed March 28, 2026, 6:31 a.m.
Created at: March 27, 2026, 2:36 p.m.