Triple

T12196379
Position Surface form Disambiguated ID Type / Status
Subject The Ghan E290594 entity
Predicate locomotiveClassUsed P31795 FINISHED
Object NR class
The NR class is a series of Australian diesel-electric locomotives widely used for long-distance interstate passenger and freight services, including hauling The Ghan.
 E969827 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: NR class | Statement: [The Ghan, locomotiveClassUsed, NR class]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NR class
Context triple: [The Ghan, locomotiveClassUsed, NR class]
  • A. NR
    NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
  • B. NR
    NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
  • C. NR
    NR is the U.S. Navy’s Office of Naval Reactors, the organization responsible for the design, operation, and safety of naval nuclear propulsion systems.
  • D. NR
    NR is the commonly used abbreviation for the Nordic Council, a regional inter-parliamentary body for cooperation among the Nordic countries.
  • E. NR
    NR is the radio access technology standard defined by 3GPP for fifth-generation (5G) mobile networks, enabling high-speed, low-latency wireless communication.
  • 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: NR class
Triple: [The Ghan, locomotiveClassUsed, NR class]
Generated description
The NR class is a series of Australian diesel-electric locomotives widely used for long-distance interstate passenger and freight services, including hauling The Ghan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NR class
Target entity description: The NR class is a series of Australian diesel-electric locomotives widely used for long-distance interstate passenger and freight services, including hauling The Ghan.
  • A. NR
    NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
  • B. NR
    NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
  • C. NR
    NR is the U.S. Navy’s Office of Naval Reactors, the organization responsible for the design, operation, and safety of naval nuclear propulsion systems.
  • D. NR
    NR is the radio access technology standard defined by 3GPP for fifth-generation (5G) mobile networks, enabling high-speed, low-latency wireless communication.
  • E. NR
    NR is the commonly used abbreviation for the Nordic Council, a regional inter-parliamentary body for cooperation among the Nordic countries.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c55a5a881909c0eea2d83c00f49 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a9150448190b30e6e2dd8eec3b4 completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdb39f48190ad6bc51db6c34163 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4c30448190874f253b864ef61e completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:50 p.m.