Triple

T12263369
Position Surface form Disambiguated ID Type / Status
Subject Stow railway station E292280 entity
Predicate stationCode P1289 FINISHED
Object SOI
SOI is the National Rail station code for Stow railway station in the Scottish Borders, Scotland.
 E971156 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: SOI | Statement: [Stow railway station, stationCode, SOI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SOI
Context triple: [Stow railway station, stationCode, SOI]
  • A. SOI
    SOI is a standardized index that measures the strength and phase of the atmospheric pressure component of the El Niño–Southern Oscillation (ENSO) climate pattern.
  • B. SOI-East
    SOI-East is a United States Marine Corps training school that provides entry-level infantry and combat skills instruction to Marines on the East Coast.
  • C. Siocon
    Siocon is a coastal municipality in the province of Zamboanga del Norte in the Philippines, known for its fishing industry and agricultural activities.
  • D. SO19
    SO19 was the former designation for the Metropolitan Police Service’s Specialist Firearms Command, responsible for providing armed response and tactical firearms support in London.
  • E. SOHO
    SOHO is a NASA and ESA space observatory dedicated to studying the Sun’s interior, atmosphere, and solar wind, as well as monitoring space weather.
  • 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: SOI
Triple: [Stow railway station, stationCode, SOI]
Generated description
SOI is the National Rail station code for Stow railway station in the Scottish Borders, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SOI
Target entity description: SOI is the National Rail station code for Stow railway station in the Scottish Borders, Scotland.
  • A. SOI
    SOI is a standardized index that measures the strength and phase of the atmospheric pressure component of the El Niño–Southern Oscillation (ENSO) climate pattern.
  • B. SOI-East
    SOI-East is a United States Marine Corps training school that provides entry-level infantry and combat skills instruction to Marines on the East Coast.
  • C. Siocon
    Siocon is a coastal municipality in the province of Zamboanga del Norte in the Philippines, known for its fishing industry and agricultural activities.
  • D. SO19
    SO19 was the former designation for the Metropolitan Police Service’s Specialist Firearms Command, responsible for providing armed response and tactical firearms support in London.
  • E. SOHO
    SOHO is a NASA and ESA space observatory dedicated to studying the Sun’s interior, atmosphere, and solar wind, as well as monitoring space weather.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdb0a948190aeee4ca3c01f801e completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ac3ce008190856a917c2c75862a completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60f220554819088c0aa5706f44856 completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60f9f40f48190b60be483d1922b22 completed May 2, 2026, 2:52 p.m.
Created at: April 8, 2026, 9:52 p.m.