Triple

T14685659
Position Surface form Disambiguated ID Type / Status
Subject Endeavour railcar E344900 entity
Predicate hasClass P9272 FINISHED
Object TE class
The TE class is a type of New Zealand Railways diesel multiple unit railcar used in the Endeavour passenger service.
 E1113900 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: TE class | Statement: [Endeavour railcar, hasClass, TE class]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TE class
Context triple: [Endeavour railcar, hasClass, TE class]
  • A. TEE
    TEE is the national professional and technical organization representing engineers and overseeing engineering standards and practice in Greece.
  • B. CTEA
    CTEA is the commonly used acronym for the Sonny Bono Copyright Term Extension Act, a U.S. law that lengthened the duration of copyright protection.
  • C. TEC
    TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
  • D. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • E. TEC
    TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
  • 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: TE class
Triple: [Endeavour railcar, hasClass, TE class]
Generated description
The TE class is a type of New Zealand Railways diesel multiple unit railcar used in the Endeavour passenger service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TE class
Target entity description: The TE class is a type of New Zealand Railways diesel multiple unit railcar used in the Endeavour passenger service.
  • A. TEE
    TEE is the national professional and technical organization representing engineers and overseeing engineering standards and practice in Greece.
  • B. CTEA
    CTEA is the commonly used acronym for the Sonny Bono Copyright Term Extension Act, a U.S. law that lengthened the duration of copyright protection.
  • C. TEC
    TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
  • D. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • E. TEC
    TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
  • 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_69deb56bdb8081909ff86440ba20fb1f 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.