Triple

T3255463
Position Surface form Disambiguated ID Type / Status
Subject Gold Coast Airport E68283 entity
Predicate focusCityFor P164 FINISHED
Object Bonza
Bonza is an Australian low-cost airline known for operating domestic routes that connect regional and leisure destinations.
 E341223 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: Bonza | Statement: [Gold Coast Airport, focusCityFor, Bonza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bonza
Context triple: [Gold Coast Airport, focusCityFor, Bonza]
  • A. Pengo
    Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
  • B. Solitaire
    Solitaire is a classic single-player card game that became widely known through its inclusion as a standard game on early Microsoft Windows operating systems.
  • C. Solitaire
    Solitaire is a fictional psychic tarot reader and Bond girl who appears as a key ally and love interest to James Bond in the novel and film "Live and Let Die."
  • D. Manziana
    Manziana is a small town in the Lazio region of central Italy, northwest of Rome, known for its wooded nature reserve and volcanic landscape.
  • E. Bango
    Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
  • 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: Bonza
Triple: [Gold Coast Airport, focusCityFor, Bonza]
Generated description
Bonza is an Australian low-cost airline known for operating domestic routes that connect regional and leisure destinations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bonza
Target entity description: Bonza is an Australian low-cost airline known for operating domestic routes that connect regional and leisure destinations.
  • A. Pengo
    Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
  • B. Solitaire
    Solitaire is a classic single-player card game that became widely known through its inclusion as a standard game on early Microsoft Windows operating systems.
  • C. Solitaire
    Solitaire is a fictional psychic tarot reader and Bond girl who appears as a key ally and love interest to James Bond in the novel and film "Live and Let Die."
  • D. Manziana
    Manziana is a small town in the Lazio region of central Italy, northwest of Rome, known for its wooded nature reserve and volcanic landscape.
  • E. Bango
    Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf6753b0819081755a529fd87cb1 completed March 8, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ece1d1c81909bacadecea679a7f completed March 12, 2026, 10 a.m.
NEDg Description generation batch_69b2904acf6881908fc4f1eb0e515b19 completed March 12, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69b2a8b873b081909bbb5de329e45169 completed March 12, 2026, 11:51 a.m.
Created at: March 8, 2026, 3:09 p.m.