Triple

T18500206
Position Surface form Disambiguated ID Type / Status
Subject SSR E452046 entity
Predicate abbreviation P43 FINISHED
Object SRG SSR NE NERFINISHED

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: SRG SSR | Statement: [SSR, abbreviation, SRG SSR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SRG SSR
Context triple: [SSR, abbreviation, SRG SSR]
  • A. SRG SSR chosen
    SRG SSR is Switzerland’s national public broadcasting organization, providing multilingual radio, television, and online services across the country.
  • B. SRG
    SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
  • C. SR-133
    SR-133 is a state highway designated as State Route 133 within a U.S. state’s transportation system.
  • D. SR5
    SR5 is a popular base trim level designation used by Toyota, typically indicating a well-equipped yet affordable configuration on its SUVs and trucks.
  • E. SR-180
    SR-180 is a state highway designation, likely referring to a specific numbered route within a U.S. state highway system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c3810c81908fa329c177c6d96c completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:36 a.m.