Triple

T547884
Position Surface form Disambiguated ID Type / Status
Subject Gold Coast E12771 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Robina
Robina is a master-planned residential and commercial suburb on the Gold Coast in Queensland, Australia, known for its large shopping centre and modern urban design.
 E93131 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: Robina | Statement: [Gold Coast, hasNeighbourhood, Robina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Robina
Context triple: [Gold Coast, hasNeighbourhood, Robina]
  • A. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Roberta
    Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
  • C. Reva
    Reva is an alternative name for the Narmada River, one of central India’s major and holiest rivers.
  • D. Kimberly
    Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
  • E. Rita
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • 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: Robina
Triple: [Gold Coast, hasNeighbourhood, Robina]
Generated description
Robina is a master-planned residential and commercial suburb on the Gold Coast in Queensland, Australia, known for its large shopping centre and modern urban design.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Robina
Target entity description: Robina is a master-planned residential and commercial suburb on the Gold Coast in Queensland, Australia, known for its large shopping centre and modern urban design.
  • A. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Roberta
    Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
  • C. Reva
    Reva is an alternative name for the Narmada River, one of central India’s major and holiest rivers.
  • D. Kimberly
    Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
  • E. Rita
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498e2e8c88190a66d759ed3094e18 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6732881488190a6f6eb556a42277c completed March 3, 2026, 5:35 a.m.
NEDg Description generation batch_69a6748b3ca08190a9177c8c9153d747 completed March 3, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_69a674b3179481909e02a2f70466ac0b completed March 3, 2026, 5:42 a.m.
Created at: March 1, 2026, 7:32 p.m.