Triple

T3144612
Position Surface form Disambiguated ID Type / Status
Subject Ici Musique E65732 entity
Predicate abbreviation P43 FINISHED
Object SRC (for the operator) E65730 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: SRC (for the operator) | Statement: [Ici Musique, abbreviation, SRC (for the operator)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SRC (for the operator)
Context triple: [Ici Musique, abbreviation, SRC (for the operator)]
  • A. SRC chosen
    SRC is a Canadian French-language television network owned by the Canadian Broadcasting Corporation, serving as its primary public broadcasting service in French.
  • B. SRCCL
    SRCCL is a major Intergovernmental Panel on Climate Change (IPCC) assessment focused on the interactions between climate change, land use, and sustainable land management.
  • C. SRG
    SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
  • D. OS SR
    OS SR is the official abbreviation for the Slovak Armed Forces, the military organization responsible for the defense of Slovakia.
  • E. SoR
    SoR is the commonly used abbreviation for the Society of Rheology, a professional organization dedicated to the study of the flow and deformation of matter.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada595d4548190b720a6131817833b completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224ed4d748190a2af68bf284110e8 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.