Triple

T13899721
Position Surface form Disambiguated ID Type / Status
Subject Queensland Ambulance Service E334185 entity
Predicate abbreviation P43 FINISHED
Object QAS
QAS is the state-wide emergency medical and ambulance service provider for Queensland, Australia.
 E1068373 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: QAS | Statement: [Queensland Ambulance Service, abbreviation, QAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QAS
Context triple: [Queensland Ambulance Service, abbreviation, QAS]
  • A. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • B. QA
    QA is the two-letter ISO 3166-1 alpha-2 country code assigned to Qatar for international standardization and identification.
  • C. QA
    QA is the station code for Quincy Adams, a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on Boston’s Red Line.
  • D. QQS
    QQS is the IATA station code for London St Pancras International, a major central London railway terminus and international high-speed rail hub.
  • E. QQS
    QQS is the IATA airport code for the Shuttle Landing Facility at NASA’s Kennedy Space Center in Florida, historically used for Space Shuttle landings.
  • 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: QAS
Triple: [Queensland Ambulance Service, abbreviation, QAS]
Generated description
QAS is the state-wide emergency medical and ambulance service provider for Queensland, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QAS
Target entity description: QAS is the state-wide emergency medical and ambulance service provider for Queensland, Australia.
  • A. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • B. QA
    QA is the two-letter ISO 3166-1 alpha-2 country code assigned to Qatar for international standardization and identification.
  • C. QA
    QA is the station code for Quincy Adams, a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on Boston’s Red Line.
  • D. QQS
    QQS is the IATA airport code for the Shuttle Landing Facility at NASA’s Kennedy Space Center in Florida, historically used for Space Shuttle landings.
  • E. QQS
    QQS is the IATA station code for London St Pancras International, a major central London railway terminus and international high-speed rail hub.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25d8897881908b770cdb565898d4 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c720b4988190aee1f1f09877212d completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c86a3640819081ed689bd271f909 completed May 3, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69f7c9b2930c8190983f2c55a0dd35f6 completed May 3, 2026, 10:18 p.m.
Created at: April 9, 2026, 10:15 p.m.