Triple

T6313760
Position Surface form Disambiguated ID Type / Status
Subject 3GPP SA E141565 entity
Predicate abbreviation P43 FINISHED
Object SA E23873 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: SA | Statement: [3GPP SA, abbreviation, SA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SA
Context triple: [3GPP SA, abbreviation, SA]
  • A. SA
    The SA (Sturmabteilung) was the Nazi Party’s paramilitary organization known for its role in Adolf Hitler’s rise to power through intimidation, street violence, and mass rallies in early 20th-century Germany.
  • B. SA
    SA is the two-letter ISO 3166-1 alpha-2 country code representing the Kingdom of Saudi Arabia.
  • C. SA
    SA is a UK postcode area covering Swansea and surrounding parts of South West Wales.
  • D. SA chosen
    SA is a key 3GPP technical specification group responsible for defining the overall system architecture and service capabilities of mobile telecommunications networks.
  • E. SA
    SA is the standard abbreviation for South Australia, a state in the southern central part of Australia known for its wine regions, festivals, and coastal landscapes.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064a075dc8190acf7ec010cb4b00c completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6040337908190a10f7cd9c1264267 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:28 p.m.