Triple

T11647278
Position Surface form Disambiguated ID Type / Status
Subject City Airport Train E276807 entity
Predicate marketingName P11546 FINISHED
Object CAT
CAT is a branded express rail service that connects Vienna International Airport with the city center quickly and comfortably.
E939195 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: CAT | Statement: [City Airport Train, marketingName, CAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAT
Context triple: [City Airport Train, marketingName, CAT]
  • A. CAT
    The Committee for Advanced Therapies is a scientific body within the European Medicines Agency responsible for assessing advanced therapy medicinal products such as gene, cell, and tissue-engineered therapies.
  • B. CAT
    CAT is a globally recognized industrial brand best known for its heavy construction machinery, engines, and rugged workwear.
  • C. CAT
    CAT is the National Rail station code for Caterham railway station in Surrey, England.
  • D. CAT
    CAT was the civilian airline operated by the CIA in East Asia during the early Cold War, later becoming known as Air America.
  • E. CAT
    CAT is a highly competitive national-level entrance examination in India used for admission to postgraduate management programs such as MBAs at premier institutes.
  • 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: CAT
Triple: [City Airport Train, marketingName, CAT]
Generated description
CAT is a branded express rail service that connects Vienna International Airport with the city center quickly and comfortably.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CAT
Target entity description: CAT is a branded express rail service that connects Vienna International Airport with the city center quickly and comfortably.
  • A. CAT
    CAT is the National Rail station code for Caterham railway station in Surrey, England.
  • B. CAT
    CAT was the civilian airline operated by the CIA in East Asia during the early Cold War, later becoming known as Air America.
  • C. CAT
    CAT is a highly competitive national-level entrance examination in India used for admission to postgraduate management programs such as MBAs at premier institutes.
  • D. CAT
    CAT is a globally recognized industrial brand best known for its heavy construction machinery, engines, and rugged workwear.
  • E. CAT
    The Committee against Torture (CAT) is a United Nations body of independent experts that monitors implementation of the Convention against Torture and other cruel, inhuman or degrading treatment or punishment by its State parties.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cd9bb0819093d107204bed2fe0 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1381a49c81909d849edbfab7448e completed April 27, 2026, 7:42 a.m.
NEDg Description generation batch_69ef3550fae881909246cd4cca047a19 completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef519f95488190b4b5a167aa930133 completed April 27, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:39 p.m.