Triple

T22018696
Position Surface form Disambiguated ID Type / Status
Subject Vlissingen Souburg railway station E543779 entity
Predicate hasStationCode P1289 FINISHED
Object Vls
Vls is the official station code used to identify Vlissingen Souburg railway station in the Netherlands.
 E1513876 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: Vls | Statement: [Vlissingen Souburg railway station, hasStationCode, Vls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vls
Context triple: [Vlissingen Souburg railway station, hasStationCode, Vls]
  • A. VSL
    VSL is the station code for Venezia Santa Lucia, the main railway terminal serving the historic center of Venice, Italy.
  • B. V-L-S-E
    V-L-S-E was an early 20th-century American film distribution company that handled releases for several major silent-era studios.
  • C. VLH
    VLH is the commonly used abbreviation for Växjö Lakers HC, a professional ice hockey club based in Växjö, Sweden.
  • D. VLKSM
    VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
  • E. VES
    VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
  • 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: Vls
Triple: [Vlissingen Souburg railway station, hasStationCode, Vls]
Generated description
Vls is the official station code used to identify Vlissingen Souburg railway station in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vls
Target entity description: Vls is the official station code used to identify Vlissingen Souburg railway station in the Netherlands.
  • A. VSL
    VSL is the station code for Venezia Santa Lucia, the main railway terminal serving the historic center of Venice, Italy.
  • B. V-L-S-E
    V-L-S-E was an early 20th-century American film distribution company that handled releases for several major silent-era studios.
  • C. VLH
    VLH is the commonly used abbreviation for Växjö Lakers HC, a professional ice hockey club based in Växjö, Sweden.
  • D. VLKSM
    VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
  • E. VES
    VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c5929881908458d07bd33c5edd completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7381c4b8819086514b9422cd6a0c completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a74e81da881908c73d864258dcdd5 completed May 18, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0a75ce1ed88190be60d0ed29a056ba completed May 18, 2026, 2:13 a.m.
Created at: April 16, 2026, 8:23 p.m.