Triple

T21088846
Position Surface form Disambiguated ID Type / Status
Subject DFSA Rulebook E519577 entity
Predicate hasPart P35 FINISHED
Object Glossary Module (GLO)
Glossary Module (GLO) is a dedicated section of the DFSA Rulebook that defines and clarifies key terms and concepts used throughout the regulatory framework.
 E1466180 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: Glossary Module (GLO) | Statement: [DFSA Rulebook, hasPart, Glossary Module (GLO)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glossary Module (GLO)
Context triple: [DFSA Rulebook, hasPart, Glossary Module (GLO)]
  • A. GLUE
    GLUE is a widely used benchmark suite for evaluating the performance of natural language understanding models across a variety of language tasks.
  • B. GLO
    GLO is the National Rail station code for Glossop railway station in Derbyshire, England.
  • C. Glossaryck
    Glossaryck is a mysterious, blue, genie-like being who serves as the magical guide and mentor tied to the royal spellbook in the animated series "Star vs. the Forces of Evil."
  • D. GLEX
    GLEX is the ICAO aircraft type designator for the Bombardier Global Express family of long-range business jets.
  • E. Lexicon
    "Lexicon" is a track by the American metal band Enemy of the Sun, known for their heavy, experimental sound.
  • 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: Glossary Module (GLO)
Triple: [DFSA Rulebook, hasPart, Glossary Module (GLO)]
Generated description
Glossary Module (GLO) is a dedicated section of the DFSA Rulebook that defines and clarifies key terms and concepts used throughout the regulatory framework.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glossary Module (GLO)
Target entity description: Glossary Module (GLO) is a dedicated section of the DFSA Rulebook that defines and clarifies key terms and concepts used throughout the regulatory framework.
  • A. GLUE
    GLUE is a widely used benchmark suite for evaluating the performance of natural language understanding models across a variety of language tasks.
  • B. GLO
    GLO is the National Rail station code for Glossop railway station in Derbyshire, England.
  • C. Glossaryck
    Glossaryck is a mysterious, blue, genie-like being who serves as the magical guide and mentor tied to the royal spellbook in the animated series "Star vs. the Forces of Evil."
  • D. GLEX
    GLEX is the ICAO aircraft type designator for the Bombardier Global Express family of long-range business jets.
  • E. Lexicon
    "Lexicon" is a track by the American metal band Enemy of the Sun, known for their heavy, experimental sound.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094cebe08190bb10f51a45c244ec completed April 21, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a5879d88190ac29a01da51ea009 completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095c017bec81909fd6c73a0fb677df completed May 17, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_6a095cee4c308190a08844f285231ff9 completed May 17, 2026, 6:15 a.m.
Created at: April 16, 2026, 2:50 p.m.