Triple

T8910631
Position Surface form Disambiguated ID Type / Status
Subject Stratford International railway station E212171 entity
Predicate code P1537 FINISHED
Object SFA
SFA is the National Rail station code for Stratford International railway station in London, England.
 E766665 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: SFA | Statement: [Stratford International railway station, code, SFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SFA
Context triple: [Stratford International railway station, code, SFA]
  • A. SFA
    The SFA is the Scottish Football Association, the main governing body for football in Scotland.
  • B. SFA
    SFA is the IATA airport code for Sfax–Thyna International Airport serving the city of Sfax in Tunisia.
  • C. SFA
    SFA is a public university in Nacogdoches, Texas, known for its academic programs, research, and Lumberjacks athletic teams.
  • D. SFA State
    SFA State is a public university located in Nacogdoches, Texas, known for its programs in education, forestry, and the liberal arts.
  • E. SAFC
    SAFC is the commonly used abbreviation for Stirling Albion Football Club, a Scottish professional football team based in Stirling.
  • 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: SFA
Triple: [Stratford International railway station, code, SFA]
Generated description
SFA is the National Rail station code for Stratford International railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SFA
Target entity description: SFA is the National Rail station code for Stratford International railway station in London, England.
  • A. SFA
    The SFA is the Scottish Football Association, the main governing body for football in Scotland.
  • B. SFA
    SFA is the IATA airport code for Sfax–Thyna International Airport serving the city of Sfax in Tunisia.
  • C. SFA
    SFA is a public university in Nacogdoches, Texas, known for its academic programs, research, and Lumberjacks athletic teams.
  • D. SFA State
    SFA State is a public university located in Nacogdoches, Texas, known for its programs in education, forestry, and the liberal arts.
  • E. SAFC
    SAFC is the commonly used abbreviation for Stirling Albion Football Club, a Scottish professional football team based in Stirling.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc65227d008190b13ba162d0b3c9d1 completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba36f8cc8190ab57ddc99b7219d1 completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbade9330819096d4b0eeacdad6da completed April 3, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfbec2b8888190a0390168fdcef05f completed April 3, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:55 p.m.