Triple

T14387970
Position Surface form Disambiguated ID Type / Status
Subject GSMA E356772 entity
Predicate fullName P16 FINISHED
Object GSM Association E356772 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 Association | Statement: [GSMA, fullName, GSM Association]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GSM Association
Context triple: [GSMA, fullName, GSM Association]
  • 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. Telecommunications Technology Association
    The Telecommunications Technology Association is a South Korean standards organization that develops and promotes technical standards for the telecommunications and ICT industries.
  • C. Alliance for Telecommunications Industry Solutions
    The Alliance for Telecommunications Industry Solutions is a U.S.-based standards development organization that creates technical and operational standards for the global information and communications technology industry.
  • D. GSM
    GSM is the three-letter IATA airport code assigned to Qeshm International Airport in Iran.
  • E. GSM
    GSM is the common abbreviation for Great St Mary’s Church, the historic University Church located in the center of Cambridge, England.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90283b9c8190b50d30ad58bfe085 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551623608190ba1de09b423cc5e1 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.