Triple

T1077640
Position Surface form Disambiguated ID Type / Status
Subject 3GPP TSG SA E23873 entity
Predicate hasWorkingGroup P1382 FINISHED
Object SA1
SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
 E123469 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: SA1 | Statement: [3GPP TSG SA, hasWorkingGroup, SA1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SA1
Context triple: [3GPP TSG SA, hasWorkingGroup, SA1]
  • A. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • B. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • C. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • D. SL
    SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • E. SACT
    SACT is the Supreme Allied Commander Transformation, the NATO strategic commander responsible for leading the alliance’s military transformation and capability development.
  • 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: SA1
Triple: [3GPP TSG SA, hasWorkingGroup, SA1]
Generated description
SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SA1
Target entity description: SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
  • A. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • B. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • C. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • D. SL
    SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • E. SACT
    SACT is the Supreme Allied Commander Transformation, the NATO strategic commander responsible for leading the alliance’s military transformation and capability development.
  • 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.