Triple

T3604796
Position Surface form Disambiguated ID Type / Status
Subject Arnhem Centraal railway station E76343 entity
Predicate operatedBy P86 FINISHED
Object Breng
Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
 E371443 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: Breng | Statement: [Arnhem Centraal railway station, operatedBy, Breng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Breng
Context triple: [Arnhem Centraal railway station, operatedBy, Breng]
  • A. Breg
    Breg is a river in Germany’s Black Forest region that forms one of the main headwaters of the Danube.
  • B. Breage
    Breage is a rural village and civil parish in west Cornwall, England, known for its historic church and traditional Cornish mining heritage.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Brenz
    The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
  • E. Broglien
    A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
  • 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: Breng
Triple: [Arnhem Centraal railway station, operatedBy, Breng]
Generated description
Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Breng
Target entity description: Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
  • A. Breg
    Breg is a river in Germany’s Black Forest region that forms one of the main headwaters of the Danube.
  • B. Breage
    Breage is a rural village and civil parish in west Cornwall, England, known for its historic church and traditional Cornish mining heritage.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Brenz
    The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
  • E. Broglien
    A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
  • 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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc1e07bc481908d9fce18d36d8e0d completed March 8, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b40320a0308190b2f358fe1488ed98 completed March 13, 2026, 12:29 p.m.
NEDg Description generation batch_69b4041bc85c8190948b7e47aef0e0d0 completed March 13, 2026, 12:33 p.m.
NED2 Entity disambiguation (via description) batch_69b408778220819086935bfa9c0dd4fd completed March 13, 2026, 12:52 p.m.
Created at: March 8, 2026, 3:22 p.m.