Triple

T8141783
Position Surface form Disambiguated ID Type / Status
Subject Medallion Qualification Miles E190114 entity
Predicate alsoKnownAs P39 FINISHED
Object MQMs
MQMs are Delta Air Lines’ status-qualifying miles that determine a SkyMiles member’s Medallion elite tier based on distance and fare class flown.
 E712277 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: MQMs | Statement: [Medallion Qualification Miles, alsoKnownAs, MQMs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MQMs
Context triple: [Medallion Qualification Miles, alsoKnownAs, MQMs]
  • A. MQI
    MQI (Message Queue Interface) is a programming API used to send and receive messages via IBM MQ message queuing systems.
  • B. PMQ
    PMQ is a revitalized creative hub and design center in Hong Kong’s Central District, housed in the former Police Married Quarters and now home to studios, shops, and cultural events.
  • C. MQD
    MQD is the station code for Metro Miguel Ángel de Quevedo, a stop on Mexico City’s metro system.
  • D. MQ
    MQ is the IATA airline designator used by American Eagle Airlines for its flight operations.
  • E. MQ
    MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
  • 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: MQMs
Triple: [Medallion Qualification Miles, alsoKnownAs, MQMs]
Generated description
MQMs are Delta Air Lines’ status-qualifying miles that determine a SkyMiles member’s Medallion elite tier based on distance and fare class flown.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MQMs
Target entity description: MQMs are Delta Air Lines’ status-qualifying miles that determine a SkyMiles member’s Medallion elite tier based on distance and fare class flown.
  • A. MQI
    MQI (Message Queue Interface) is a programming API used to send and receive messages via IBM MQ message queuing systems.
  • B. PMQ
    PMQ is a revitalized creative hub and design center in Hong Kong’s Central District, housed in the former Police Married Quarters and now home to studios, shops, and cultural events.
  • C. MQD
    MQD is the station code for Metro Miguel Ángel de Quevedo, a stop on Mexico City’s metro system.
  • D. MQ
    MQ is the IATA airline designator used by American Eagle Airlines for its flight operations.
  • E. MQ
    MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
  • 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4442299881909db56f7475cbb99a completed March 31, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc94a9ecd08190a029a8d76d9f3bb1 completed April 1, 2026, 3:44 a.m.
NEDg Description generation batch_69cc95c228c08190a603c1dff44ff299 completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc96b02d38819085eb51c1943b3045 completed April 1, 2026, 3:53 a.m.
Created at: March 30, 2026, 5:36 p.m.