Triple

T14686640
Position Surface form Disambiguated ID Type / Status
Subject Turrella railway station E344923 entity
Predicate hasStationCode P1289 FINISHED
Object TRL
TRL is the station code for Turrella railway station, a suburban train stop in Sydney, New South Wales, Australia.
 E1113936 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: TRL | Statement: [Turrella railway station, hasStationCode, TRL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TRL
Context triple: [Turrella railway station, hasStationCode, TRL]
  • A. TRL
    TRL is a popular abbreviation for "Total Request Live," a former MTV music video countdown show that became a major pop culture phenomenon in the late 1990s and early 2000s.
  • B. TRL
    TRL is the FAA location identifier for Terrell Municipal Airport in Terrell, Texas.
  • C. TRL
    TRL is a UK-based transport research organization known for its work on road safety, infrastructure, and sustainable mobility solutions.
  • D. THR
    THR is the IATA airport code for Mehrabad International Airport, a major airport serving Tehran, Iran.
  • E. TR
    TR is the IATA airport code for Singapore-based low-cost airline Scoot.
  • 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: TRL
Triple: [Turrella railway station, hasStationCode, TRL]
Generated description
TRL is the station code for Turrella railway station, a suburban train stop in Sydney, New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TRL
Target entity description: TRL is the station code for Turrella railway station, a suburban train stop in Sydney, New South Wales, Australia.
  • A. TRL
    TRL is a popular abbreviation for "Total Request Live," a former MTV music video countdown show that became a major pop culture phenomenon in the late 1990s and early 2000s.
  • B. TRL
    TRL is the FAA location identifier for Terrell Municipal Airport in Terrell, Texas.
  • C. TRL
    TRL is a UK-based transport research organization known for its work on road safety, infrastructure, and sustainable mobility solutions.
  • D. THR
    THR is the IATA airport code for Mehrabad International Airport, a major airport serving Tehran, Iran.
  • E. TR
    TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb58306548190b981956a83a84b95 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde1876fdc81908a4fe3deebb7ff83 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde6c7a8ac8190a80b6c6ed0b5b157 completed May 8, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69fde73ca1dc8190b7fc13d7ffb6daf4 completed May 8, 2026, 1:38 p.m.
Created at: April 10, 2026, 1:28 a.m.