Triple

T1077641
Position Surface form Disambiguated ID Type / Status
Subject 3GPP TSG SA E23873 entity
Predicate hasWorkingGroup P1382 FINISHED
Object SA2
SA2 is a 3GPP working group responsible for defining the overall system architecture and functional specifications of mobile communication networks.
 E127335 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: SA2 | Statement: [3GPP TSG SA, hasWorkingGroup, SA2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SA2
Context triple: [3GPP TSG SA, hasWorkingGroup, SA2]
  • A. SA1
    SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
  • B. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • C. SAM
    SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
  • D. SACT
    SACT is the Supreme Allied Commander Transformation, the NATO strategic commander responsible for leading the alliance’s military transformation and capability development.
  • E. ASALE
    ASALE is the acronym for the Association of Academies of the Spanish Language, the international body that coordinates the work of Spanish language academies across the Spanish-speaking world.
  • 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: SA2
Triple: [3GPP TSG SA, hasWorkingGroup, SA2]
Generated description
SA2 is a 3GPP working group responsible for defining the overall system architecture and functional specifications of mobile communication networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SA2
Target entity description: SA2 is a 3GPP working group responsible for defining the overall system architecture and functional specifications of mobile communication networks.
  • A. SA1
    SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
  • B. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • C. SAM
    SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
  • D. SACT
    SACT is the Supreme Allied Commander Transformation, the NATO strategic commander responsible for leading the alliance’s military transformation and capability development.
  • E. ASALE
    ASALE is the acronym for the Association of Academies of the Spanish Language, the international body that coordinates the work of Spanish language academies across the Spanish-speaking world.
  • 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_69ac4c2247888190a7ab75b447b4773f completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4d8f37f48190ad8a762a6ee9e5e8 completed March 7, 2026, 4:08 p.m.
NED2 Entity disambiguation (via description) batch_69ac4dea94e0819094d05e0b2c97b03e completed March 7, 2026, 4:10 p.m.
Created at: March 1, 2026, 7:42 p.m.