Triple

T15185750
Position Surface form Disambiguated ID Type / Status
Subject T4 Eastern Suburbs & Illawarra Line E362869 entity
Predicate lineCode P508 FINISHED
Object T4
T4 is a Sydney Trains suburban rail service that operates along the Eastern Suburbs and Illawarra Line in Sydney, Australia.
 E1142260 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: T4 | Statement: [T4 Eastern Suburbs & Illawarra Line, lineCode, T4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T4
Context triple: [T4 Eastern Suburbs & Illawarra Line, lineCode, T4]
  • A. T4
    T4 is a light rail/tram line of the Trambesòs network serving the Barcelona metropolitan area.
  • B. T4
    T4 is one of the lines of the Athens tram system, providing urban light-rail service across part of the Athens metropolitan area.
  • C. T4
    T4 is a tram line serving the city of Villeurbanne as part of the Lyon metropolitan public transport network in France.
  • D. T4
    T4 is the large, modern main passenger terminal at Adolfo Suárez Madrid–Barajas Airport in Madrid, Spain, known for its distinctive architecture and extensive international flight operations.
  • E. T4
    T4 is the fourth passenger terminal at Melbourne Airport, serving as one of the airport’s main facilities for domestic and low-cost airline operations.
  • 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: T4
Triple: [T4 Eastern Suburbs & Illawarra Line, lineCode, T4]
Generated description
T4 is a Sydney Trains suburban rail service that operates along the Eastern Suburbs and Illawarra Line in Sydney, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T4
Target entity description: T4 is a Sydney Trains suburban rail service that operates along the Eastern Suburbs and Illawarra Line in Sydney, Australia.
  • A. T4
    T4 is one of the lines of the Athens tram system, providing urban light-rail service across part of the Athens metropolitan area.
  • B. T4
    T4 is a light rail/tram line of the Trambesòs network serving the Barcelona metropolitan area.
  • C. T4
    T4 is a tram line serving the city of Villeurbanne as part of the Lyon metropolitan public transport network in France.
  • D. T4
    T4 is the fourth passenger terminal at Melbourne Airport, serving as one of the airport’s main facilities for domestic and low-cost airline operations.
  • E. T4
    T4 is a tram line that forms part of the urban light rail network serving the city of Casablanca, Morocco.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006674c088190ba635a78c30f5637 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec895b59c81908a09f8393a35aa13 completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec9ece2fc8190811e83185cdb4dfc completed May 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69fecc58d7b0819082090b6205b77b16 completed May 9, 2026, 5:55 a.m.
Created at: April 10, 2026, 3:09 a.m.