Triple

T5345166
Position Surface form Disambiguated ID Type / Status
Subject Department of Trade and Industry E124036 entity
Predicate shortName P43 FINISHED
Object DTI
DTI is the commonly used acronym for the Department of Trade and Industry, a government body responsible for trade, industry, and investment policy.
 E513123 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: DTI | Statement: [Department of Trade and Industry, shortName, DTI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DTI
Context triple: [Department of Trade and Industry, shortName, DTI]
  • A. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • B. DTTA
    DTTA is the ICAO airport code for Tunis–Carthage International Airport, the main international gateway serving Tunis, the capital of Tunisia.
  • C. MRIA
    MRIA is the post-nominal title indicating membership of the Royal Irish Academy, an all-Ireland body of distinguished scholars and scientists.
  • D. DET
    DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
  • E. RDI
    RDI is a Canadian French-language specialty news channel operated by Ici Radio-Canada Télé that focuses on continuous news coverage and current affairs programming.
  • 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: DTI
Triple: [Department of Trade and Industry, shortName, DTI]
Generated description
DTI is the commonly used acronym for the Department of Trade and Industry, a government body responsible for trade, industry, and investment policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DTI
Target entity description: DTI is the commonly used acronym for the Department of Trade and Industry, a government body responsible for trade, industry, and investment policy.
  • A. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • B. DTTA
    DTTA is the ICAO airport code for Tunis–Carthage International Airport, the main international gateway serving Tunis, the capital of Tunisia.
  • C. MRIA
    MRIA is the post-nominal title indicating membership of the Royal Irish Academy, an all-Ireland body of distinguished scholars and scientists.
  • D. DET
    DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
  • E. RDI
    RDI is a Canadian French-language specialty news channel operated by Ici Radio-Canada Télé that focuses on continuous news coverage and current affairs programming.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ec46ac81908e45ffb1b7a71507 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21c95ed0819084a9cdcaf5148988 completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf2236219c8190bd5c439ea13ea83a completed March 21, 2026, 10:56 p.m.
NED2 Entity disambiguation (via description) batch_69bf229a0ad88190b7edc02a98f5fe31 completed March 21, 2026, 10:58 p.m.
Created at: March 20, 2026, 2:01 p.m.