Triple

T6857656
Position Surface form Disambiguated ID Type / Status
Subject Shawfair railway station E158188 entity
Predicate stationCode P1289 FINISHED
Object SFI
SFI is the National Rail station code for Shawfair railway station in Midlothian, Scotland.
 E624265 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: SFI | Statement: [Shawfair railway station, stationCode, SFI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SFI
Context triple: [Shawfair railway station, stationCode, SFI]
  • A. SFI
    SFI is a left-wing student organization in India associated with the Communist Party of India (Marxist), active in campuses across the country.
  • B. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • C. SRI
    SRI is Romania’s main domestic intelligence and security service, responsible for gathering and analyzing information to protect national security.
  • D. FSI
    FSI is the U.S. Department of State’s primary training institution for American diplomats and other foreign affairs professionals.
  • E. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • 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: SFI
Triple: [Shawfair railway station, stationCode, SFI]
Generated description
SFI is the National Rail station code for Shawfair railway station in Midlothian, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SFI
Target entity description: SFI is the National Rail station code for Shawfair railway station in Midlothian, Scotland.
  • A. SFI
    SFI is a left-wing student organization in India associated with the Communist Party of India (Marxist), active in campuses across the country.
  • B. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • C. SRI
    SRI is Romania’s main domestic intelligence and security service, responsible for gathering and analyzing information to protect national security.
  • D. FSI
    FSI is the U.S. Department of State’s primary training institution for American diplomats and other foreign affairs professionals.
  • E. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d870a8088190b42fde7626735cb1 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fe28dc88190a9c7794b78374ecf completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c736684f848190a5fb1b82e152b8a5 completed March 28, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_69c736d828f88190a388d559c673861a completed March 28, 2026, 2:03 a.m.
Created at: March 27, 2026, 2:21 p.m.