Triple

T9664480
Position Surface form Disambiguated ID Type / Status
Subject Aberystwyth railway station E233667 entity
Predicate stationCode P1289 FINISHED
Object AYW
AYW is the National Rail station code for Aberystwyth railway station in Ceredigion, Wales.
 E812867 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: AYW | Statement: [Aberystwyth railway station, stationCode, AYW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AYW
Context triple: [Aberystwyth railway station, stationCode, AYW]
  • A. AY
    AY is the IATA airline designator assigned to Finnair, the flag carrier and largest airline of Finland.
  • B. AAY
    AAY is the ICAO airline designator used to identify Allegiant Air in aviation operations and communications.
  • C. AYJ
    AYJ is the IATA airport code for Maharishi Valmiki International Airport serving Ayodhya in Uttar Pradesh, India.
  • D. AYQ
    AYQ is the IATA airport code for Ayers Rock (Connellan) Airport, which serves the Yulara resort area near Uluru in Australia’s Northern Territory.
  • E. EYW
    EYW is the IATA airport code for Key West International Airport, a small commercial airport serving Key West in the Florida Keys, USA.
  • 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: AYW
Triple: [Aberystwyth railway station, stationCode, AYW]
Generated description
AYW is the National Rail station code for Aberystwyth railway station in Ceredigion, Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AYW
Target entity description: AYW is the National Rail station code for Aberystwyth railway station in Ceredigion, Wales.
  • A. AY
    AY is the IATA airline designator assigned to Finnair, the flag carrier and largest airline of Finland.
  • B. AAY
    AAY is the ICAO airline designator used to identify Allegiant Air in aviation operations and communications.
  • C. AYJ
    AYJ is the IATA airport code for Maharishi Valmiki International Airport serving Ayodhya in Uttar Pradesh, India.
  • D. AYQ
    AYQ is the IATA airport code for Ayers Rock (Connellan) Airport, which serves the Yulara resort area near Uluru in Australia’s Northern Territory.
  • E. EYW
    EYW is the IATA airport code for Key West International Airport, a small commercial airport serving Key West in the Florida Keys, USA.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0e1ef481909c50a4ba5fd94583 completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a17eea08190825404b01b0e8d96 completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18aee8ef8819080ce061f3d145712 completed April 4, 2026, 10:04 p.m.
NED2 Entity disambiguation (via description) batch_69d18b34d14881909b8da862c12f8727 completed April 4, 2026, 10:05 p.m.
Created at: March 30, 2026, 8:14 p.m.