Triple

T14849911
Position Surface form Disambiguated ID Type / Status
Subject Electoral Commission of Queensland E349199 entity
Predicate shortName P43 FINISHED
Object ECQ
ECQ is the independent statutory authority responsible for conducting and regulating state and local government elections in Queensland, Australia.
E1123809 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: ECQ | Statement: [Electoral Commission of Queensland, shortName, ECQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECQ
Context triple: [Electoral Commission of Queensland, shortName, ECQ]
  • A. EQC
    EQC is a fully electric luxury compact SUV produced by Mercedes-Benz as part of its EQ lineup of battery-electric vehicles.
  • B. EQA
    EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
  • C. EQF
    EQF is a European reference framework that helps compare and translate qualifications across different countries’ education and training systems.
  • D. EQE
    EQE is a fully electric executive sedan from Mercedes-Benz’s EQ lineup, positioned as a mid-size luxury alternative to the traditional E-Class.
  • E. E&C
    E&C is the commonly used abbreviation for Enforcement and Compliance, typically referring to functions or departments responsible for ensuring adherence to laws, regulations, and internal policies.
  • 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: ECQ
Triple: [Electoral Commission of Queensland, shortName, ECQ]
Generated description
ECQ is the independent statutory authority responsible for conducting and regulating state and local government elections in Queensland, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ECQ
Target entity description: ECQ is the independent statutory authority responsible for conducting and regulating state and local government elections in Queensland, Australia.
  • A. EQC
    EQC is a fully electric luxury compact SUV produced by Mercedes-Benz as part of its EQ lineup of battery-electric vehicles.
  • B. EQA
    EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
  • C. EQF
    EQF is a European reference framework that helps compare and translate qualifications across different countries’ education and training systems.
  • D. EQE
    EQE is a fully electric executive sedan from Mercedes-Benz’s EQ lineup, positioned as a mid-size luxury alternative to the traditional E-Class.
  • E. E&C
    E&C is the commonly used abbreviation for Enforcement and Compliance, typically referring to functions or departments responsible for ensuring adherence to laws, regulations, and internal policies.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded43eee188190bf24dc475b3abe28 completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6504ac6081908074231cf628fd39 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe65f41df08190ae7eee3b0235faf6 completed May 8, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe66f7b5a48190b5d31ac38e7300f9 completed May 8, 2026, 10:43 p.m.
Created at: April 10, 2026, 1:54 a.m.