Triple

T9288841
Position Surface form Disambiguated ID Type / Status
Subject Disclosure Guidance and Transparency Rules E223464 entity
Predicate contains P35 FINISHED
Object DTR 6
DTR 6 is a section of the UK Financial Conduct Authority’s Disclosure Guidance and Transparency Rules that sets out requirements for the disclosure of major shareholdings and related transparency obligations for issuers.
 E790462 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: DTR 6 | Statement: [Disclosure Guidance and Transparency Rules, contains, DTR 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DTR 6
Context triple: [Disclosure Guidance and Transparency Rules, contains, DTR 6]
  • A. D6
    D6 is the commonly used abbreviation for District 6, a designated administrative or electoral subdivision within a larger governmental or organizational structure.
  • B. D68
    D68 is the pennant number assigned to HMAS Vampire, a Royal Australian Navy destroyer.
  • C. DRT
    DRT is the public transit agency serving Ontario’s Regional Municipality of Durham with bus and specialized transit services.
  • D. T6
    T6 is a tram line serving the Lyon metropolitan area, providing urban light-rail transit through Villeurbanne and neighboring districts.
  • E. T6
    T6 is a tram line within the Trambesòs light rail network serving the Barcelona metropolitan area.
  • 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: DTR 6
Triple: [Disclosure Guidance and Transparency Rules, contains, DTR 6]
Generated description
DTR 6 is a section of the UK Financial Conduct Authority’s Disclosure Guidance and Transparency Rules that sets out requirements for the disclosure of major shareholdings and related transparency obligations for issuers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DTR 6
Target entity description: DTR 6 is a section of the UK Financial Conduct Authority’s Disclosure Guidance and Transparency Rules that sets out requirements for the disclosure of major shareholdings and related transparency obligations for issuers.
  • A. D6
    D6 is the commonly used abbreviation for District 6, a designated administrative or electoral subdivision within a larger governmental or organizational structure.
  • B. D68
    D68 is the pennant number assigned to HMAS Vampire, a Royal Australian Navy destroyer.
  • C. DRT
    DRT is the public transit agency serving Ontario’s Regional Municipality of Durham with bus and specialized transit services.
  • D. T6
    T6 is a tram line within the Trambesòs light rail network serving the Barcelona metropolitan area.
  • E. T6
    T6 is a tram line serving the Lyon metropolitan area, providing urban light-rail transit through Villeurbanne and neighboring districts.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0862b34c819097cb7c1777313925 completed April 1, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b22ff5d881909ed5ac15ad8cbbb6 completed April 4, 2026, 6:39 a.m.
NEDg Description generation batch_69d0b441ca5c81908d6d50f271de2a57 completed April 4, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69d0b4e909308190a2dc31fc1ec27e09 completed April 4, 2026, 6:51 a.m.
Created at: March 30, 2026, 7:35 p.m.