Triple

T8707227
Position Surface form Disambiguated ID Type / Status
Subject MQI E206678 entity
Predicate hasOperation P1137 FINISHED
Object MQPUT
MQPUT is an IBM MQ API call used to place (put) messages onto a queue within the message queuing system.
 E752547 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: MQPUT | Statement: [MQI, hasOperation, MQPUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MQPUT
Context triple: [MQI, hasOperation, MQPUT]
  • A. MQT
    MQT is the IATA airport code for Sawyer International Airport, a public airport serving the Marquette, Michigan area in the United States.
  • B. MQ
    MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
  • C. MQ
    MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
  • D. MQ
    MQ is the IATA airline designator used by American Eagle Airlines for its flight operations.
  • E. 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.
  • 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: MQPUT
Triple: [MQI, hasOperation, MQPUT]
Generated description
MQPUT is an IBM MQ API call used to place (put) messages onto a queue within the message queuing system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MQPUT
Target entity description: MQPUT is an IBM MQ API call used to place (put) messages onto a queue within the message queuing system.
  • A. MQT
    MQT is the IATA airport code for Sawyer International Airport, a public airport serving the Marquette, Michigan area in the United States.
  • B. MQ
    MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
  • C. MQ
    MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
  • D. MQ
    MQ is the IATA airline designator used by American Eagle Airlines for its flight operations.
  • E. 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.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58fe19ac8190936ba0faf513ed2b completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28aac77c8190b4f5968643715765 completed April 3, 2026, 2:40 a.m.
NEDg Description generation batch_69cf2bcff84881908a7985fdf8189583 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2ca1ddac8190a36367e6bba8e3c8 completed April 3, 2026, 2:57 a.m.
Created at: March 30, 2026, 6:35 p.m.