Triple

T8141753
Position Surface form Disambiguated ID Type / Status
Subject Medallion Qualification Dollars E190113 entity
Predicate alsoKnownAs P39 FINISHED
Object MQDs
MQDs are a spending-based metric used by Delta Air Lines to determine a traveler’s progress toward earning Medallion elite status in its SkyMiles loyalty program.
 E712275 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: MQDs | Statement: [Medallion Qualification Dollars, alsoKnownAs, MQDs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MQDs
Context triple: [Medallion Qualification Dollars, alsoKnownAs, MQDs]
  • A. MQD
    MQD is the station code for Metro Miguel Ángel de Quevedo, a stop on Mexico City’s metro system.
  • B. MQ
    MQ is the IATA airline designator used by American Eagle Airlines for its flight operations.
  • C. MQ
    MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
  • D. MQ
    MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
  • E. MQT
    MQT is the IATA airport code for Sawyer International Airport, a public airport serving the Marquette, Michigan area in the United States.
  • 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: MQDs
Triple: [Medallion Qualification Dollars, alsoKnownAs, MQDs]
Generated description
MQDs are a spending-based metric used by Delta Air Lines to determine a traveler’s progress toward earning Medallion elite status in its SkyMiles loyalty program.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MQDs
Target entity description: MQDs are a spending-based metric used by Delta Air Lines to determine a traveler’s progress toward earning Medallion elite status in its SkyMiles loyalty program.
  • A. MQD
    MQD is the station code for Metro Miguel Ángel de Quevedo, a stop on Mexico City’s metro system.
  • B. MQ
    MQ is the IATA airline designator used by American Eagle Airlines for its flight operations.
  • C. MQ
    MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
  • D. MQ
    MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
  • E. MQT
    MQT is the IATA airport code for Sawyer International Airport, a public airport serving the Marquette, Michigan area in the United States.
  • 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.