Triple

T13114100
Position Surface form Disambiguated ID Type / Status
Subject Mecklenburgische Seenplatte (district) E311047 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MSE E741954 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 | Statement: [Mecklenburgische Seenplatte (district), vehicleRegistrationCode, MSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MSE
Context triple: [Mecklenburgische Seenplatte (district), vehicleRegistrationCode, MSE]
  • A. 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.
  • B. MSE chosen
    MSE is the vehicle registration code for the district of Mecklenburgische Seenplatte in the German state of Mecklenburg-Vorpommern.
  • C. MSE-SS
    MSE-SS is a specialized Master of Software Engineering program focused on designing, building, and managing large-scale, high-performance software systems.
  • D. MSE, SJTU
    MSE, SJTU is the School of Materials Science and Engineering at Shanghai Jiao Tong University, a leading Chinese institution specializing in advanced materials research and education.
  • E. MSA
    MSA is the standardized, literary form of Arabic used in formal writing, media, education, and official communication across the Arab world.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28105c481908781775ba489c296 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:06 p.m.