Triple

T7379286
Position Surface form Disambiguated ID Type / Status
Subject Southend Victoria railway station E170205 entity
Predicate stationCode P1289 FINISHED
Object SOV
SOV is the National Rail station code for Southend Victoria railway station in Southend-on-Sea, Essex, England.
 E660541 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: SOV | Statement: [Southend Victoria railway station, stationCode, SOV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SOV
Context triple: [Southend Victoria railway station, stationCode, SOV]
  • A. SVO
    SVO is the three-letter IATA airport code for Sheremetyevo International Airport, one of Moscow’s major international air hubs in Russia.
  • B. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • C. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • D. Sozh
    The Sozh is a major river in Eastern Europe that flows through Russia, Belarus, and Ukraine before joining the Dnieper.
  • E. SO
    SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
  • 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: SOV
Triple: [Southend Victoria railway station, stationCode, SOV]
Generated description
SOV is the National Rail station code for Southend Victoria railway station in Southend-on-Sea, Essex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SOV
Target entity description: SOV is the National Rail station code for Southend Victoria railway station in Southend-on-Sea, Essex, England.
  • A. SVO
    SVO is the three-letter IATA airport code for Sheremetyevo International Airport, one of Moscow’s major international air hubs in Russia.
  • B. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • C. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • D. Sozh
    The Sozh is a major river in Eastern Europe that flows through Russia, Belarus, and Ukraine before joining the Dnieper.
  • E. SO
    SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1c4ad0081909386fbef9f61ae4c completed March 27, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802d86da48190a1311c5c52a5f296 completed March 28, 2026, 4:33 p.m.
NEDg Description generation batch_69c80537c28c8190b1f6aff6da60d126 completed March 28, 2026, 4:43 p.m.
NED2 Entity disambiguation (via description) batch_69c8059f89d08190be588df20c668408 completed March 28, 2026, 4:45 p.m.
Created at: March 27, 2026, 3:08 p.m.