Triple

T19806670
Position Surface form Disambiguated ID Type / Status
Subject Hilversum E475829 entity
Predicate hasBroadcaster P16302 FINISHED
Object AVROTROS
AVROTROS is a major Dutch public broadcasting organization that produces and airs a wide range of television and radio programs in the Netherlands.
 E1395745 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: AVROTROS | Statement: [Hilversum, hasBroadcaster, AVROTROS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AVROTROS
Context triple: [Hilversum, hasBroadcaster, AVROTROS]
  • A. Vanden Plas
    Vanden Plas was a British coachbuilder and later a luxury car marque known for producing high-end, finely appointed versions of mainstream vehicles.
  • B. Ertl
    Ertl is a German surname most notably associated with Nobel Prize–winning physicist and surface chemist Gerhard Ertl.
  • C. Rosnoën
    Rosnoën is a small commune in the Finistère department of Brittany in northwestern France, known for its scenic rural landscapes and proximity to coastal inlets.
  • D. Vleteren
    Vleteren is a rural municipality in the Belgian province of West Flanders, known for its quiet countryside and traditional Flemish character.
  • E. Aigle Azur
    Aigle Azur was a French airline known for operating scheduled passenger services, particularly linking France with North and West African destinations.
  • 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: AVROTROS
Triple: [Hilversum, hasBroadcaster, AVROTROS]
Generated description
AVROTROS is a major Dutch public broadcasting organization that produces and airs a wide range of television and radio programs in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AVROTROS
Target entity description: AVROTROS is a major Dutch public broadcasting organization that produces and airs a wide range of television and radio programs in the Netherlands.
  • A. Vanden Plas
    Vanden Plas was a British coachbuilder and later a luxury car marque known for producing high-end, finely appointed versions of mainstream vehicles.
  • B. Ertl
    Ertl is a German surname most notably associated with Nobel Prize–winning physicist and surface chemist Gerhard Ertl.
  • C. Rosnoën
    Rosnoën is a small commune in the Finistère department of Brittany in northwestern France, known for its scenic rural landscapes and proximity to coastal inlets.
  • D. Vleteren
    Vleteren is a rural municipality in the Belgian province of West Flanders, known for its quiet countryside and traditional Flemish character.
  • E. Aigle Azur
    Aigle Azur was a French airline known for operating scheduled passenger services, particularly linking France with North and West African destinations.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65428f5c48190be6ae0d6a77675d2 completed April 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c50c6a7c81908bf0d55dad7a6556 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c66178108190a6fc2d7566af44ad completed May 16, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_6a07c73b731881909c8abaeb541e34f9 completed May 16, 2026, 1:24 a.m.
Created at: April 10, 2026, 1:49 p.m.