Triple

T1984200
Position Surface form Disambiguated ID Type / Status
Subject American Eagle Airlines E43101 entity
Predicate IATACode P418 FINISHED
Object MQ
MQ is the IATA airline designator used by American Eagle Airlines for its flight operations.
 E223155 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: MQ | Statement: [American Eagle Airlines, IATACode, MQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MQ
Context triple: [American Eagle Airlines, IATACode, MQ]
  • A. MQ
    MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
  • B. MQ
    MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
  • C. MQI
    MQI (Message Queue Interface) is a programming API used to send and receive messages via IBM MQ message queuing systems.
  • D. MSMQ
    MSMQ (Microsoft Message Queuing) is a Microsoft messaging technology that enables reliable, asynchronous communication between distributed applications by queuing messages.
  • 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: MQ
Triple: [American Eagle Airlines, IATACode, MQ]
Generated description
MQ is the IATA airline designator used by American Eagle Airlines for its flight operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MQ
Target entity description: MQ is the IATA airline designator used by American Eagle Airlines for its flight operations.
  • A. MQ
    MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
  • B. MQ
    MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
  • C. MQI
    MQI (Message Queue Interface) is a programming API used to send and receive messages via IBM MQ message queuing systems.
  • D. MSMQ
    MSMQ (Microsoft Message Queuing) is a Microsoft messaging technology that enables reliable, asynchronous communication between distributed applications by queuing messages.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb820815481908aac6d89b437225b completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae03301a2481909f6147482d490b90 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae04eb6c5c8190914fc35975400784 completed March 8, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69ae055df5ec8190ae39d938a8102b9d completed March 8, 2026, 11:25 p.m.
Created at: March 4, 2026, 7:37 p.m.