Triple

T3030049
Position Surface form Disambiguated ID Type / Status
Subject Nambour E82871 entity
Predicate stateElectorate P11212 FINISHED
Object Nicklin
Nicklin is an electoral district in the Legislative Assembly of Queensland, Australia, encompassing the town of Nambour and surrounding areas.
 E319988 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: Nicklin | Statement: [Nambour, stateElectorate, Nicklin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nicklin
Context triple: [Nambour, stateElectorate, Nicklin]
  • A. Nicholl
    Nicholl is a surname of British origin, often considered a variant of the name Nicol or Nicholas.
  • B. Ainley
    Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
  • C. Wilkin
    Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
  • D. Lindley
    Lindley refers to John Lindley, a prominent 19th-century English botanist known for his influential work in plant taxonomy and classification.
  • E. Norris
    Norris is a surname most notably associated with influential American politician George W. Norris, a progressive-era U.S. senator from Nebraska.
  • 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: Nicklin
Triple: [Nambour, stateElectorate, Nicklin]
Generated description
Nicklin is an electoral district in the Legislative Assembly of Queensland, Australia, encompassing the town of Nambour and surrounding areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nicklin
Target entity description: Nicklin is an electoral district in the Legislative Assembly of Queensland, Australia, encompassing the town of Nambour and surrounding areas.
  • A. Nicholl
    Nicholl is a surname of British origin, often considered a variant of the name Nicol or Nicholas.
  • B. Ainley
    Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
  • C. Wilkin
    Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
  • D. Lindley
    Lindley refers to John Lindley, a prominent 19th-century English botanist known for his influential work in plant taxonomy and classification.
  • E. Norris
    Norris is a surname most notably associated with influential American politician George W. Norris, a progressive-era U.S. senator from Nebraska.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9aecd384819085d15f701add7c44 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deb9c9548190b3d36803432b84f6 completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1df4acf2881908e969fe0512721bc completed March 11, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69b1dff55d5881909b14239a4232e617 completed March 11, 2026, 9:34 p.m.
Created at: March 8, 2026, 3:01 p.m.