Triple

T22699885
Position Surface form Disambiguated ID Type / Status
Subject University of Missouri Extension E561285 entity
Predicate alsoKnownAs P39 FINISHED
Object MU Extension — NE NERFINISHED

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: MU Extension | Statement: [University of Missouri Extension, alsoKnownAs, MU Extension]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MU Extension
Context triple: [University of Missouri Extension, alsoKnownAs, MU Extension]
  • A. MU
    MU is the common abbreviation for Masaryk University, a major public research university located in Brno, Czech Republic.
  • B. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • C. MU chosen
    MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
  • D. MU
    MU is the commonly used abbreviation for Millersville University of Pennsylvania, a public university located in Millersville, Pennsylvania.
  • E. MPTS
    MPTS is the independent body in the UK responsible for overseeing fitness-to-practise hearings and decisions for doctors registered with the General Medical Council.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178c944748190a0712983f7059114 completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:15 p.m.