Triple

T10209853
Position Surface form Disambiguated ID Type / Status
Subject RTL Group E242297 entity
Predicate ownsTVChannel P61714 FINISHED
Object RTL 5
RTL 5 is a Dutch commercial television channel known for broadcasting entertainment, reality shows, and imported series, and is part of the RTL Nederland network.
 E849564 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: RTL 5 | Statement: [RTL Group, ownsTVChannel, RTL 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RTL 5
Context triple: [RTL Group, ownsTVChannel, RTL 5]
  • A. RTL 4
    RTL 4 is a major Dutch commercial television channel known for broadcasting popular entertainment shows, dramas, and reality series.
  • B. R5
    R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • C. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • D. R5
    R5 was a former designation for a commuter rail line in the SEPTA Regional Rail system serving the Paoli/Thorndale corridor in the Philadelphia area.
  • E. ROLT
    ROLT is the acronym for the Regional Organizations Liaison Team, a group that coordinates and facilitates communication and collaboration among various regional organizations.
  • 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: RTL 5
Triple: [RTL Group, ownsTVChannel, RTL 5]
Generated description
RTL 5 is a Dutch commercial television channel known for broadcasting entertainment, reality shows, and imported series, and is part of the RTL Nederland network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RTL 5
Target entity description: RTL 5 is a Dutch commercial television channel known for broadcasting entertainment, reality shows, and imported series, and is part of the RTL Nederland network.
  • A. RTL 4
    RTL 4 is a major Dutch commercial television channel known for broadcasting popular entertainment shows, dramas, and reality series.
  • B. R5
    R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • C. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • D. R5
    R5 was a former designation for a commuter rail line in the SEPTA Regional Rail system serving the Paoli/Thorndale corridor in the Philadelphia area.
  • E. ROLT
    ROLT is the acronym for the Regional Organizations Liaison Team, a group that coordinates and facilitates communication and collaboration among various regional organizations.
  • 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.