Triple

T12460291
Position Surface form Disambiguated ID Type / Status
Subject Stonebridge Park E297771 entity
Predicate stationCode P1289 FINISHED
Object SBP
SBP is the National Rail station code for Stonebridge Park railway station in northwest London, England.
 E984513 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: SBP | Statement: [Stonebridge Park, stationCode, SBP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SBP
Context triple: [Stonebridge Park, stationCode, SBP]
  • A. SBP
    SBP is a federally assisted meal program in the United States that provides nutritious breakfasts to schoolchildren to support their health and learning.
  • B. SBP
    SBP is the central bank of Pakistan, responsible for regulating the country’s monetary and credit system and ensuring financial stability.
  • C. SBSP
    SBSP is the ICAO airport code for Congonhas–São Paulo Airport, a major domestic airport serving the city of São Paulo, Brazil.
  • D. SBPA
    SBPA is the acronym for the School of Business and Public Administration, an academic unit focused on education and research in business and public sector management.
  • E. SB
    SB is the abbreviated name for the School of Basic Sciences, an academic unit focused on foundational scientific disciplines.
  • 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: SBP
Triple: [Stonebridge Park, stationCode, SBP]
Generated description
SBP is the National Rail station code for Stonebridge Park railway station in northwest London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SBP
Target entity description: SBP is the National Rail station code for Stonebridge Park railway station in northwest London, England.
  • A. SBP
    SBP is a federally assisted meal program in the United States that provides nutritious breakfasts to schoolchildren to support their health and learning.
  • B. SBP
    SBP is the central bank of Pakistan, responsible for regulating the country’s monetary and credit system and ensuring financial stability.
  • C. SBSP
    SBSP is the ICAO airport code for Congonhas–São Paulo Airport, a major domestic airport serving the city of São Paulo, Brazil.
  • D. SBPA
    SBPA is the acronym for the School of Business and Public Administration, an academic unit focused on education and research in business and public sector management.
  • E. SB
    SB is the abbreviated name for the School of Basic Sciences, an academic unit focused on foundational scientific disciplines.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94db465c48190bcfaf22f25ef8947 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f1d4f248190a0805e17da42eaf7 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f64010a1348190afaf7b95b8f146b5 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f640c33d948190ad8f9885f90786d7 completed May 2, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:56 p.m.