Triple

T22882273
Position Surface form Disambiguated ID Type / Status
Subject Auburn railway station E567505 entity
Predicate hasStationCode P1289 FINISHED
Object AUB
AUB is the station code for Auburn railway station, a suburban train station serving the Auburn area in Sydney, Australia.
 E1559074 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: AUB | Statement: [Auburn railway station, hasStationCode, AUB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AUB
Context triple: [Auburn railway station, hasStationCode, AUB]
  • A. AUB
    AUB is a specialist creative arts university in Bournemouth, England, offering practice-based courses in areas such as art, design, media, and performance.
  • B. AUN
    AUN is a private American-style university located in Yola, Nigeria, known for its focus on liberal arts education, technology, and development.
  • C. ABU
    ABU is the camouflage combat uniform formerly worn by United States Air Force personnel.
  • D. AÜ
    AÜ is the commonly used abbreviation for Ankara University, a major public research university in Turkey’s capital city.
  • E. UBAS
    UBAS is a University Air Squadron affiliated with the University of Birmingham that provides Royal Air Force training and flying experience to university students.
  • 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: AUB
Triple: [Auburn railway station, hasStationCode, AUB]
Generated description
AUB is the station code for Auburn railway station, a suburban train station serving the Auburn area in Sydney, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AUB
Target entity description: AUB is the station code for Auburn railway station, a suburban train station serving the Auburn area in Sydney, Australia.
  • A. AUB
    AUB is a specialist creative arts university in Bournemouth, England, offering practice-based courses in areas such as art, design, media, and performance.
  • B. AUN
    AUN is a private American-style university located in Yola, Nigeria, known for its focus on liberal arts education, technology, and development.
  • C. ABU
    ABU is the camouflage combat uniform formerly worn by United States Air Force personnel.
  • D. AÜ
    AÜ is the commonly used abbreviation for Ankara University, a major public research university in Turkey’s capital city.
  • E. UBAS
    UBAS is a University Air Squadron affiliated with the University of Birmingham that provides Royal Air Force training and flying experience to university students.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5cd98c8190b3c31ffd4c066331 completed April 29, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae9e1a24819087d826cf677fcad5 completed May 19, 2026, 12:28 a.m.
NEDg Description generation batch_6a0bb08f167081908ff4bd13e291afb5 completed May 19, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0bb10db81c8190a23d57c422a71675 completed May 19, 2026, 12:38 a.m.
Created at: April 17, 2026, 3:39 p.m.