Triple

T4548513
Position Surface form Disambiguated ID Type / Status
Subject RTS replay E110103 entity
Predicate contentProvider P17306 FINISHED
Object RTS 1 E110098 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: RTS 1 | Statement: [RTS replay, contentProvider, RTS 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RTS 1
Context triple: [RTS replay, contentProvider, RTS 1]
  • A. RTS chosen
    RTS is the Swiss public broadcasting organization that provides French-language radio, television, and digital media services.
  • B. RTS replay
    RTS replay is the on-demand streaming platform of Switzerland’s public broadcaster Radio Télévision Suisse, offering catch-up access to its TV and radio programs.
  • C. SRT
    SRT was the former name of Toronto’s Line 3 Scarborough, an elevated light rapid transit line that operated in the city’s eastern suburbs.
  • D. RTS Index
    RTS Index is a major Russian stock market index that tracks the performance of leading companies listed on the Moscow Exchange, calculated in US dollars.
  • E. RTM
    RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f272248190983ae439bd0ac0cc completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb945bd3881908e6c3f5f91b5f38e completed March 20, 2026, 9:16 p.m.
Created at: March 20, 2026, 1:05 p.m.