Triple

T1077622
Position Surface form Disambiguated ID Type / Status
Subject 3GPP TSG SA E23873 entity
Predicate shortName P43 FINISHED
Object TSG SA
TSG SA is a key 3GPP standards group responsible for overall system architecture and service requirements in mobile telecommunications.
E123468 NE FINISHED

How this triple was built (4 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: TSG SA | Statement: [3GPP TSG SA, shortName, TSG SA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSG SA
Context triple: [3GPP TSG SA, shortName, TSG SA]
  • A. TSO
    TSO (The Stationery Office) is a major UK publishing and information services company known for producing and distributing official government and public sector documents.
  • B. TJSJ
    TJSJ is the ICAO airport code for Luis Muñoz Marín International Airport, the main commercial airport serving San Juan, Puerto Rico.
  • C. SMC
    SMC is a nearby dwarf irregular galaxy and satellite of the Milky Way, visible from the Southern Hemisphere and important for studies of galactic evolution and stellar populations.
  • D. T-MEC
    T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
  • E. RTA Marine transport system
    The RTA Marine transport system is Dubai’s government-operated network of water-based public transit services, including water buses, abras, and water taxis, that connect key locations along the city’s waterways.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TSG SA
Triple: [3GPP TSG SA, shortName, TSG SA]
Generated description
TSG SA is a key 3GPP standards group responsible for overall system architecture and service requirements in mobile telecommunications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TSG SA
Target entity description: TSG SA is a key 3GPP standards group responsible for overall system architecture and service requirements in mobile telecommunications.
  • A. TSO
    TSO (The Stationery Office) is a major UK publishing and information services company known for producing and distributing official government and public sector documents.
  • B. TJSJ
    TJSJ is the ICAO airport code for Luis Muñoz Marín International Airport, the main commercial airport serving San Juan, Puerto Rico.
  • C. SMC
    SMC is a nearby dwarf irregular galaxy and satellite of the Milky Way, visible from the Southern Hemisphere and important for studies of galactic evolution and stellar populations.
  • D. T-MEC
    T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
  • E. RTA Marine transport system
    The RTA Marine transport system is Dubai’s government-operated network of water-based public transit services, including water buses, abras, and water taxis, that connect key locations along the city’s waterways.
  • F. None of above. chosen

Provenance (5 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b94288d88190aae4fb86236c0702 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42abc7a08190a34f5b2d393db30e completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac4336328481908aba0260c6504a1a completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43b578d48190af1478c9f6c8f712 completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.