Triple

T8707226
Position Surface form Disambiguated ID Type / Status
Subject MQI E206678 entity
Predicate hasOperation P1137 FINISHED
Object MQCLOSE E206678 NE FINISHED

How this triple was built (2 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: MQCLOSE | Statement: [MQI, hasOperation, MQCLOSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MQCLOSE
Context triple: [MQI, hasOperation, MQCLOSE]
  • 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. 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.
  • C. MQI chosen
    MQI (Message Queue Interface) is a programming API used to send and receive messages via IBM MQ message queuing systems.
  • D. MQD
    MQD is the station code for Metro Miguel Ángel de Quevedo, a stop on Mexico City’s metro system.
  • E. Close Harmony
    Close Harmony is an Academy Award–winning short documentary film that portrays the collaboration between elderly retirees and Brooklyn schoolchildren as they prepare for a joint choral concert.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: March 30, 2026, 6:35 p.m.