Triple

T7310820
Position Surface form Disambiguated ID Type / Status
Subject Mildura Airport E168085 entity
Predicate IATAcode P418 FINISHED
Object MQL
MQL is the IATA airport code for Mildura Airport, a regional airport serving Mildura in Victoria, Australia.
 E656100 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: MQL | Statement: [Mildura Airport, IATAcode, MQL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MQL
Context triple: [Mildura Airport, IATAcode, MQL]
  • A. MML
    MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
  • B. MQT
    MQT is the IATA airport code for Sawyer International Airport, a public airport serving the Marquette, Michigan area in the United States.
  • C. M language
    M language is a functional, case-sensitive data mashup and transformation language used primarily in Microsoft Power Query for importing, shaping, and combining data from diverse sources.
  • D. MQI
    MQI (Message Queue Interface) is a programming API used to send and receive messages via IBM MQ message queuing systems.
  • E. MQD
    MQD is the station code for Metro Miguel Ángel de Quevedo, a stop on Mexico City’s metro system.
  • 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: MQL
Triple: [Mildura Airport, IATAcode, MQL]
Generated description
MQL is the IATA airport code for Mildura Airport, a regional airport serving Mildura in Victoria, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MQL
Target entity description: MQL is the IATA airport code for Mildura Airport, a regional airport serving Mildura in Victoria, Australia.
  • A. MML
    MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
  • B. MQT
    MQT is the IATA airport code for Sawyer International Airport, a public airport serving the Marquette, Michigan area in the United States.
  • C. M language
    M language is a functional, case-sensitive data mashup and transformation language used primarily in Microsoft Power Query for importing, shaping, and combining data from diverse sources.
  • D. MQI
    MQI (Message Queue Interface) is a programming API used to send and receive messages via IBM MQ message queuing systems.
  • E. MQD
    MQD is the station code for Metro Miguel Ángel de Quevedo, a stop on Mexico City’s metro system.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebff866081909916796d1b72aee8 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e56b4178819087341903a168440b completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e69b51d88190a25fbcec7993654f completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e76f3cd88190957e096c81e6e803 completed March 28, 2026, 2:36 p.m.
Created at: March 27, 2026, 3:02 p.m.