Triple

T5468625
Position Surface form Disambiguated ID Type / Status
Subject Sanford station E122774 entity
Predicate hasIATAStationCode P2569 FINISHED
Object SFA
SFA is the IATA airport code for Sfax–Thyna International Airport serving the city of Sfax in Tunisia.
 E523309 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: [Sanford station, hasIATAStationCode, SFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SFA
Context triple: [Sanford station, hasIATAStationCode, SFA]
  • A. SFA
    The SFA is the Scottish Football Association, the main governing body for football in Scotland.
  • B. SAFC
    SAFC is the commonly used abbreviation for Stirling Albion Football Club, a Scottish professional football team based in Stirling.
  • C. FAF
    FAF is the commonly used abbreviation for the Financial Accounting Foundation, the U.S. organization that oversees and supports the creation of financial accounting and reporting standards.
  • D. SFAS
    SFAS is a series of authoritative U.S. accounting standards issued by the Financial Accounting Standards Board that historically guided financial reporting practices.
  • E. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • 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: [Sanford station, hasIATAStationCode, SFA]
Generated description
SFA is the IATA airport code for Sfax–Thyna International Airport serving the city of Sfax in Tunisia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SFA
Target entity description: SFA is the IATA airport code for Sfax–Thyna International Airport serving the city of Sfax in Tunisia.
  • A. SFA
    The SFA is the Scottish Football Association, the main governing body for football in Scotland.
  • B. SAFC
    SAFC is the commonly used abbreviation for Stirling Albion Football Club, a Scottish professional football team based in Stirling.
  • C. FAF
    FAF is the commonly used abbreviation for the Financial Accounting Foundation, the U.S. organization that oversees and supports the creation of financial accounting and reporting standards.
  • D. SFAS
    SFAS is a series of authoritative U.S. accounting standards issued by the Financial Accounting Standards Board that historically guided financial reporting practices.
  • E. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92198ea08190a08357f3756572a2 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48903dc48190b4e5a0c22545d6cc completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4c5821e4819084671d314d3501d1 completed March 22, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_69bf4cd7bc9c8190adafb3eb12c669d2 completed March 22, 2026, 1:58 a.m.
Created at: March 20, 2026, 2:09 p.m.