Triple

T14546049
Position Surface form Disambiguated ID Type / Status
Subject T1 North Shore & Western Line E341293 entity
Predicate lineCode P508 FINISHED
Object T1
T1 is a major suburban rail service line in Sydney, Australia, forming part of the city's metropolitan train network.
 E1105100 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: T1 | Statement: [T1 North Shore & Western Line, lineCode, T1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T1
Context triple: [T1 North Shore & Western Line, lineCode, T1]
  • A. T1
    T1 is one of the tram routes of the Trambaix light rail network serving the Barcelona metropolitan area.
  • B. T1
    T1 is one of the main tram lines in Casablanca’s urban light rail network, providing mass transit service across key districts of the city.
  • C. T1
    T1 is one of the main lines of the Dijon tramway system in Dijon, France, providing urban light-rail transit across key parts of the city.
  • D. T1
    T1 is a tram line serving the Lyon metropolitan area in France, connecting key districts including Villeurbanne.
  • E. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • 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: T1
Triple: [T1 North Shore & Western Line, lineCode, T1]
Generated description
T1 is a major suburban rail service line in Sydney, Australia, forming part of the city's metropolitan train network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T1
Target entity description: T1 is a major suburban rail service line in Sydney, Australia, forming part of the city's metropolitan train network.
  • A. T1
    T1 is one of the tram routes of the Trambaix light rail network serving the Barcelona metropolitan area.
  • B. T1
    T1 is one of the main tram lines in Casablanca’s urban light rail network, providing mass transit service across key districts of the city.
  • C. T1
    T1 is a tram line serving the Lyon metropolitan area in France, connecting key districts including Villeurbanne.
  • D. T1
    T1 is one of the main lines of the Dijon tramway system in Dijon, France, providing urban light-rail transit across key parts of the city.
  • E. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ebdf9481909f4d2da1ad31099c completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a60f2f88190b08fdf0a3095d0a7 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7d80d358819095661dac316ff69f completed May 8, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd7e0a30188190942ff45e0f865490 completed May 8, 2026, 6:09 a.m.
Created at: April 10, 2026, 1:22 a.m.