Triple

T21264880
Position Surface form Disambiguated ID Type / Status
Subject Frequency Division Duplex E524099 entity
Predicate appliedInStandard P1587 FINISHED
Object GSM NE NERFINISHED

How this triple was built (3 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: [Frequency Division Duplex, appliedInStandard, GSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GSM
Context triple: [Frequency Division Duplex, appliedInStandard, 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. GSM
    GSM is the three-letter IATA airport code assigned to Qeshm International Airport in Iran.
  • D. GSM
    GSM is a classic Onitsuka Tiger sneaker model inspired by vintage tennis shoes, known for its minimalist design and retro athletic style.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliedInStandard
Context triple: [Frequency Division Duplex, appliedInStandard, GSM]
  • A. usedAsStandard
    Indicates that one entity serves as the reference or benchmark against which another entity is measured, compared, or evaluated.
  • B. standardizedIn
    Indicates that something has been formally defined, regulated, or made uniform within a particular standard, framework, or jurisdiction.
  • C. standardApplied
    Indicates that a particular standard, rule, or guideline has been put into effect or used as the basis for an action or decision in the relationship.
  • D. usesStandard chosen
    Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
  • E. appliedAs
    Indicates that one entity submitted itself or was put forward for consideration in a particular role, position, or context relative to another entity.
  • F. None of above.

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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735ea74e0819099d724de95996c90 completed April 21, 2026, 8:31 a.m.
PD Predicate disambiguation batch_69e5f61239708190ab7b3c83ae848a0d completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 4 p.m.