Triple

T21224832
Position Surface form Disambiguated ID Type / Status
Subject Universal Profile E523062 entity
Predicate definedBy P773 FINISHED
Object GSMA NE NERFINISHED

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: GSMA | Statement: [Universal Profile, definedBy, GSMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GSMA
Context triple: [Universal Profile, definedBy, GSMA]
  • A. GSMA chosen
    GSMA is a global industry organization that represents mobile network operators and develops standards and initiatives for the mobile telecommunications ecosystem.
  • B. GSMB
    GSMB is the abbreviation for the Gold Star Marching Band, the marching band of North Dakota State University known for its spirited performances at athletic and campus events.
  • C. 3GPP
    3GPP is an international standards organization that develops technical specifications for mobile telecommunications technologies, including 3G, 4G LTE, and 5G.
  • D. AGCOM
    AGCOM is Italy’s independent communications authority responsible for regulating the telecommunications, broadcasting, and media sectors.
  • E. TM Forum
    TM Forum is a global industry association that provides standards, frameworks, and collaboration platforms for digital service providers and their technology partners, particularly in the telecommunications sector.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734aa82c4819086cef6364619b4e9 completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:44 p.m.