Triple

T17922988
Position Surface form Disambiguated ID Type / Status
Subject Concordia University John Molson Alumni Association E448118 entity
Predicate shortName P43 FINISHED
Object JMAA
JMAA is the alumni association representing graduates of Concordia University's John Molson School of Business.
 E1296838 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: JMAA | Statement: [Concordia University John Molson Alumni Association, shortName, JMAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JMAA
Context triple: [Concordia University John Molson Alumni Association, shortName, JMAA]
  • A. MAA
    MAA is the acronym for the Maryland Aviation Administration, the state agency that oversees and manages Maryland’s public-use airports, including Baltimore/Washington International Thurgood Marshall Airport.
  • B. MAA
    MAA is the three-letter IATA airport code for Chennai International Airport, a major aviation hub in southern India.
  • C. JMA
    JMA is the ICAO airline designator assigned to Jambojet, a Kenyan low-cost carrier and subsidiary of Kenya Airways.
  • D. JMA
    JMA is the student-run Junior Members’ Association representing and organizing activities for undergraduates and postgraduates at Fitzwilliam College, University of Cambridge.
  • E. MAAIF
    MAAIF is Uganda’s government ministry responsible for overseeing agriculture, livestock, and fisheries development and policy.
  • 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: JMAA
Triple: [Concordia University John Molson Alumni Association, shortName, JMAA]
Generated description
JMAA is the alumni association representing graduates of Concordia University's John Molson School of Business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JMAA
Target entity description: JMAA is the alumni association representing graduates of Concordia University's John Molson School of Business.
  • A. MAA
    MAA is the acronym for the Maryland Aviation Administration, the state agency that oversees and manages Maryland’s public-use airports, including Baltimore/Washington International Thurgood Marshall Airport.
  • B. MAA
    MAA is the three-letter IATA airport code for Chennai International Airport, a major aviation hub in southern India.
  • C. JMA
    JMA is the ICAO airline designator assigned to Jambojet, a Kenyan low-cost carrier and subsidiary of Kenya Airways.
  • D. JMA
    JMA is the student-run Junior Members’ Association representing and organizing activities for undergraduates and postgraduates at Fitzwilliam College, University of Cambridge.
  • E. MAAIF
    MAAIF is Uganda’s government ministry responsible for overseeing agriculture, livestock, and fisheries development and policy.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30bde508190bc529ccae81f0e2a completed April 19, 2026, 9:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0321327e4c8190bdc90976312a9913 completed May 12, 2026, 12:46 p.m.
NEDg Description generation batch_6a032313086c8190b3c6c657a98942c0 completed May 12, 2026, 12:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0323f4a2c48190914075393ab1aca7 completed May 12, 2026, 12:58 p.m.
Created at: April 10, 2026, 10:20 a.m.