Triple

T8339936
Position Surface form Disambiguated ID Type / Status
Subject Vauxhall Station E195883 entity
Predicate hasStationCode P1289 FINISHED
Object VXH
VXH is the National Rail station code for Vauxhall railway station in London, England.
 E727946 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: VXH | Statement: [Vauxhall Station, hasStationCode, VXH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VXH
Context triple: [Vauxhall Station, hasStationCode, VXH]
  • A. VX
    VX is the IATA airline designator used for the former U.S.-based low-cost carrier Virgin America.
  • B. VVCX
    VVCX is a former ICAO airport code that was once assigned to Cat Bi International Airport in Hai Phong, Vietnam.
  • C. VXP
    VXP is the ICAO airline designator assigned to Avelo Airlines, a U.S.-based low-cost carrier.
  • D. XVQ
    XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
  • E. Vhg
    Vhg is the station code used to identify Västerhaninge railway station in Sweden’s public transport system.
  • 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: VXH
Triple: [Vauxhall Station, hasStationCode, VXH]
Generated description
VXH is the National Rail station code for Vauxhall railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VXH
Target entity description: VXH is the National Rail station code for Vauxhall railway station in London, England.
  • A. VX
    VX is the IATA airline designator used for the former U.S.-based low-cost carrier Virgin America.
  • B. VVCX
    VVCX is a former ICAO airport code that was once assigned to Cat Bi International Airport in Hai Phong, Vietnam.
  • C. VXP
    VXP is the ICAO airline designator assigned to Avelo Airlines, a U.S.-based low-cost carrier.
  • D. XVQ
    XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
  • E. Vhg
    Vhg is the station code used to identify Västerhaninge railway station in Sweden’s public transport system.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd7a3888190b54306ed862aded4 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc7237aa0819092b3679a318223ba completed April 2, 2026, 1:32 a.m.
NEDg Description generation batch_69cdcc8439cc8190b00ce9b0781d0544 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcdd1a0c08190aa15e665a38945e7 completed April 2, 2026, 2 a.m.
Created at: March 30, 2026, 5:57 p.m.