Triple

T13355683
Position Surface form Disambiguated ID Type / Status
Subject Overveen railway station E318684 entity
Predicate hasStationCode P1289 FINISHED
Object Ovn
Ovn is the official station code used to identify Overveen railway station in the Netherlands.
 E1034654 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: Ovn | Statement: [Overveen railway station, hasStationCode, Ovn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ovn
Context triple: [Overveen railway station, hasStationCode, Ovn]
  • A. Oveng
    Oveng is a town located in Cameroon's South Region.
  • B. Ovar
    Ovar is a coastal city in northern Portugal known for its beaches, traditional Carnival celebrations, and distinctive tiled architecture.
  • C. Oto
    The Oto are a Native American tribe originally from the Great Plains region, historically known for their semi-nomadic lifestyle, agriculture, and participation in 19th-century U.S. treaty negotiations.
  • D. Oss
    Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
  • E. Ossi
    Ossi is a small town in the Sardinian region of Gallura in Italy, known for its traditional rural character and proximity to important archaeological sites.
  • 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: Ovn
Triple: [Overveen railway station, hasStationCode, Ovn]
Generated description
Ovn is the official station code used to identify Overveen railway station in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ovn
Target entity description: Ovn is the official station code used to identify Overveen railway station in the Netherlands.
  • A. Oveng
    Oveng is a town located in Cameroon's South Region.
  • B. Ovar
    Ovar is a coastal city in northern Portugal known for its beaches, traditional Carnival celebrations, and distinctive tiled architecture.
  • C. Oto
    The Oto are a Native American tribe originally from the Great Plains region, historically known for their semi-nomadic lifestyle, agriculture, and participation in 19th-century U.S. treaty negotiations.
  • D. Oss
    Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
  • E. Ossi
    Ossi is a small town in the Sardinian region of Gallura in Italy, known for its traditional rural character and proximity to important archaeological sites.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99f1ef94c81909a59b7c3f77d3335 completed April 11, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f4bdfdc819094d3945280ed8d30 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f72018c4848190941732e3a938278a completed May 3, 2026, 10:14 a.m.
NED2 Entity disambiguation (via description) batch_69f720bf04548190833af70061b017a1 completed May 3, 2026, 10:17 a.m.
Created at: April 9, 2026, 9:32 p.m.