Triple

T22494021
Position Surface form Disambiguated ID Type / Status
Subject Hubert Burda Media E556091 entity
Predicate hasSubsidiary P254 FINISHED
Object BurdaForward
BurdaForward is a German digital media company known for operating major online news and lifestyle portals such as Focus Online and Chip.de.
E1540464 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: BurdaForward | Statement: [Hubert Burda Media, hasSubsidiary, BurdaForward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BurdaForward
Context triple: [Hubert Burda Media, hasSubsidiary, BurdaForward]
  • A. BUR
    BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • B. BUR
    BUR is the commonly used abbreviation for the Burnaby Lakers, a Canadian box lacrosse team based in Burnaby, British Columbia.
  • C. BWD
    BWD is the station code for the Long Island Rail Road's Broadway station in Queens, New York.
  • D. BWD
    BWD is the station code used to identify Berlin Wedding station in the German railway network.
  • E. BWD
    BWD is the station code for Berlin Waidmannslust, a railway station in Berlin, Germany.
  • 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: BurdaForward
Triple: [Hubert Burda Media, hasSubsidiary, BurdaForward]
Generated description
BurdaForward is a German digital media company known for operating major online news and lifestyle portals such as Focus Online and Chip.de.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BurdaForward
Target entity description: BurdaForward is a German digital media company known for operating major online news and lifestyle portals such as Focus Online and Chip.de.
  • A. BUR
    BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • B. BUR
    BUR is the commonly used abbreviation for the Burnaby Lakers, a Canadian box lacrosse team based in Burnaby, British Columbia.
  • C. BWD
    BWD is the station code for the Long Island Rail Road's Broadway station in Queens, New York.
  • D. BWD
    BWD is the station code used to identify Berlin Wedding station in the German railway network.
  • E. BWD
    BWD is the station code for Berlin Waidmannslust, a railway station in Berlin, Germany.
  • 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb0dfb88190a4175e5e95d7ad4b completed April 29, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17dfe7f48190a0879581d3e4d80f completed May 18, 2026, 1:45 p.m.
NEDg Description generation batch_6a0b18d9beec8190b890e127c62b2ef6 completed May 18, 2026, 1:49 p.m.
NED2 Entity disambiguation (via description) batch_6a0b19953e248190b599854dc58771a0 completed May 18, 2026, 1:52 p.m.
Created at: April 16, 2026, 8:49 p.m.