Triple

T10209856
Position Surface form Disambiguated ID Type / Status
Subject RTL Group E242297 entity
Predicate ownsRadioStation P14095 FINISHED
Object RTL2
RTL2 is a popular French commercial radio station known for broadcasting contemporary hit music and entertainment programs.
 E849567 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: RTL2 | Statement: [RTL Group, ownsRadioStation, RTL2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RTL2
Context triple: [RTL Group, ownsRadioStation, RTL2]
  • A. RTU
    RTU was the original name of the Chilean television channel now known as Chilevisión, one of Chile’s major national broadcasters.
  • B. RTM
    RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • C. RTM
    RTM is the IATA airport code for Rotterdam The Hague Airport, a regional international airport serving the Rotterdam–The Hague metropolitan area in the Netherlands.
  • D. RTK
    RTK is a high-precision satellite navigation technique that uses carrier-phase measurements and correction data from a reference station to provide centimeter-level positioning accuracy in real time.
  • E. RTR
    RTR is a Swiss public broadcasting division that produces and distributes radio, television, and online content in the Romansh language.
  • 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: RTL2
Triple: [RTL Group, ownsRadioStation, RTL2]
Generated description
RTL2 is a popular French commercial radio station known for broadcasting contemporary hit music and entertainment programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RTL2
Target entity description: RTL2 is a popular French commercial radio station known for broadcasting contemporary hit music and entertainment programs.
  • A. RTU
    RTU was the original name of the Chilean television channel now known as Chilevisión, one of Chile’s major national broadcasters.
  • B. RTM
    RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • C. RTM
    RTM is the IATA airport code for Rotterdam The Hague Airport, a regional international airport serving the Rotterdam–The Hague metropolitan area in the Netherlands.
  • D. RTK
    RTK is a high-precision satellite navigation technique that uses carrier-phase measurements and correction data from a reference station to provide centimeter-level positioning accuracy in real time.
  • E. RTR
    RTR is a Swiss public broadcasting division that produces and distributes radio, television, and online content in the Romansh language.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1f860048190bb20f7d3bf87f347 completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d652cca9c081909f705365c70db009 completed April 8, 2026, 1:06 p.m.
NEDg Description generation batch_69d654ddaed88190bcd7f1a2ee9dd462 completed April 8, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_69d655338cc08190ba00163f0afa4c3b completed April 8, 2026, 1:16 p.m.
Created at: April 6, 2026, 11 a.m.