Triple

T9016194
Position Surface form Disambiguated ID Type / Status
Subject Queen Mary Students’ Union E215598 entity
Predicate shortName P43 FINISHED
Object QMSU
QMSU is the students’ union representing and supporting students at Queen Mary University of London through services, activities, and advocacy.
 E773109 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: QMSU | Statement: [Queen Mary Students’ Union, shortName, QMSU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QMSU
Context triple: [Queen Mary Students’ Union, shortName, QMSU]
  • A. QMS
    QMS is the U.S. Army’s Quartermaster School, responsible for training and developing logistics, supply, and sustainment professionals for the Army.
  • B. SMSU
    SMSU is the commonly used abbreviation for the Smith Memorial Student Union, a central hub for student activities and services at Portland State University.
  • C. MGSU
    MGSU is a public university in Bikaner, Rajasthan, India, offering undergraduate and postgraduate programs across various disciplines.
  • D. USM
    USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
  • E. USM
    USM is the abbreviation for the U.S. Department of State’s Under Secretary for Management, the senior official overseeing the department’s administrative, budgetary, and logistical functions.
  • 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: QMSU
Triple: [Queen Mary Students’ Union, shortName, QMSU]
Generated description
QMSU is the students’ union representing and supporting students at Queen Mary University of London through services, activities, and advocacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QMSU
Target entity description: QMSU is the students’ union representing and supporting students at Queen Mary University of London through services, activities, and advocacy.
  • A. QMS
    QMS is the U.S. Army’s Quartermaster School, responsible for training and developing logistics, supply, and sustainment professionals for the Army.
  • B. SMSU
    SMSU is the commonly used abbreviation for the Smith Memorial Student Union, a central hub for student activities and services at Portland State University.
  • C. MGSU
    MGSU is a public university in Bikaner, Rajasthan, India, offering undergraduate and postgraduate programs across various disciplines.
  • D. USM
    USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
  • E. USM
    USM is the abbreviation for the U.S. Department of State’s Under Secretary for Management, the senior official overseeing the department’s administrative, budgetary, and logistical functions.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69fd2a888190a20bf18cd226a180 completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba8bd8c81909860d561d9d16611 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdcae0e5c81909c50a0b53c1cf7cc completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfdd6a2ba481908d66fed8f05a1297 completed April 3, 2026, 3:31 p.m.
Created at: March 30, 2026, 7:06 p.m.