Triple

T2889972
Position Surface form Disambiguated ID Type / Status
Subject University of Michigan School of Social Work E63793 entity
Predicate offersDegree P49 FINISHED
Object MSW
MSW is a professional graduate degree in social work that prepares students for advanced practice in fields such as clinical services, community organizing, and social policy.
 E308607 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: MSW | Statement: [University of Michigan School of Social Work, offersDegree, MSW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MSW
Context triple: [University of Michigan School of Social Work, offersDegree, MSW]
  • A. BSW
    BSW is the National Rail station code for Birmingham Snow Hill railway station in Birmingham, England.
  • B. MSH
    MSH is the vehicle registration code for the Mansfeld-Südharz district in the German state of Saxony-Anhalt.
  • C. MCSC
    MCSC is the United States Marine Corps’ primary acquisition and systems command responsible for equipping Marines with modern weapons, vehicles, technology, and support systems.
  • D. MHSC
    MHSC is the commonly used abbreviation for Montpellier Hérault Sport Club, a French professional football club based in Montpellier.
  • E. MAS
    MAS is the ICAO airline designator used to identify Malaysia Airlines in international aviation operations.
  • 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: MSW
Triple: [University of Michigan School of Social Work, offersDegree, MSW]
Generated description
MSW is a professional graduate degree in social work that prepares students for advanced practice in fields such as clinical services, community organizing, and social policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MSW
Target entity description: MSW is a professional graduate degree in social work that prepares students for advanced practice in fields such as clinical services, community organizing, and social policy.
  • A. BSW
    BSW is the National Rail station code for Birmingham Snow Hill railway station in Birmingham, England.
  • B. MSH
    MSH is the vehicle registration code for the Mansfeld-Südharz district in the German state of Saxony-Anhalt.
  • C. MCSC
    MCSC is the United States Marine Corps’ primary acquisition and systems command responsible for equipping Marines with modern weapons, vehicles, technology, and support systems.
  • D. MHSC
    MHSC is the commonly used abbreviation for Montpellier Hérault Sport Club, a French professional football club based in Montpellier.
  • E. MAS
    MAS is the ICAO airline designator used to identify Malaysia Airlines in international aviation operations.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe04a68ac8190aaeafe52138beb74 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03179d7448190bcdbea164856aaa2 completed March 10, 2026, 2:58 p.m.
NEDg Description generation batch_69b03f0c5bac81909aa21d5963a86c92 completed March 10, 2026, 3:55 p.m.
NED2 Entity disambiguation (via description) batch_69b044c1ea3c8190a9ae7c1431d3a3f2 completed March 10, 2026, 4:20 p.m.
Created at: March 6, 2026, 10:07 p.m.