Triple

T8910668
Position Surface form Disambiguated ID Type / Status
Subject Ashford International railway station E212172 entity
Predicate hasStationCode P1289 FINISHED
Object AFK
AFK is the National Rail station code for Ashford International railway station in Kent, England.
 E766666 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: AFK | Statement: [Ashford International railway station, hasStationCode, AFK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AFK
Context triple: [Ashford International railway station, hasStationCode, AFK]
  • A. BRB
    BRB is the commonly used abbreviation for the U.S. Department of Labor’s Benefits Review Board, which adjudicates appeals in certain workers’ compensation cases.
  • B. OOF
    OOF is a famous 1960s text-based painting by American artist Ed Ruscha that features the bold, comic-style word “OOF” and exemplifies his exploration of language and pop culture.
  • C. OFF
    OFF is the IATA airport code for Offutt Air Force Base, a major United States Air Force installation near Omaha, Nebraska.
  • D. AFB
    AFB is the commonly used abbreviation for the Belgian Armed Forces, the military organization responsible for Belgium’s national defense and international military commitments.
  • E. AFT
    AFT is a major American labor union representing teachers and other education professionals across the United States.
  • 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: AFK
Triple: [Ashford International railway station, hasStationCode, AFK]
Generated description
AFK is the National Rail station code for Ashford International railway station in Kent, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AFK
Target entity description: AFK is the National Rail station code for Ashford International railway station in Kent, England.
  • A. BRB
    BRB is the commonly used abbreviation for the U.S. Department of Labor’s Benefits Review Board, which adjudicates appeals in certain workers’ compensation cases.
  • B. OOF
    OOF is a famous 1960s text-based painting by American artist Ed Ruscha that features the bold, comic-style word “OOF” and exemplifies his exploration of language and pop culture.
  • C. OFF
    OFF is the IATA airport code for Offutt Air Force Base, a major United States Air Force installation near Omaha, Nebraska.
  • D. AFB
    AFB is the commonly used abbreviation for the Belgian Armed Forces, the military organization responsible for Belgium’s national defense and international military commitments.
  • E. AFT
    AFT is a major American labor union representing teachers and other education professionals across the United States.
  • 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.