Triple

T13497065
Position Surface form Disambiguated ID Type / Status
Subject MSE-SS E320788 entity
Predicate hasAbbreviation P43 FINISHED
Object MSE-SS E320788 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: MSE-SS | Statement: [MSE-SS, hasAbbreviation, MSE-SS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MSE-SS
Context triple: [MSE-SS, hasAbbreviation, MSE-SS]
  • A. MSE-SS chosen
    MSE-SS is a specialized Master of Software Engineering program focused on designing, building, and managing large-scale, high-performance software systems.
  • B. MSE
    MSE is the vehicle registration code for the district of Mecklenburgische Seenplatte in the German state of Mecklenburg-Vorpommern.
  • C. MSE
    MSE is the Materials Science and Engineering department at Carnegie Mellon University, focusing on the study and development of materials and their applications in technology and industry.
  • D. MSSS
    MSSS is the acronym for Quebec’s Ministry of Health and Social Services, the provincial government body responsible for overseeing public health care and social services.
  • E. MMSM
    MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4e9ca4819083116890a65389f9 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7464125988190b26390669241cc20 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:43 p.m.