Triple

T21588667
Position Surface form Disambiguated ID Type / Status
Subject UMGC E532721 entity
Predicate acronym P43 FINISHED
Object UMGC 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: UMGC | Statement: [UMGC, acronym, UMGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UMGC
Context triple: [UMGC, acronym, UMGC]
  • A. UMGC chosen
    UMGC is a large public online university within the University System of Maryland that specializes in flexible, career-focused degree programs for working adults and military-affiliated students.
  • B. CMG
    CMG is China’s state-owned national media conglomerate that oversees major television, radio, and online broadcasting services.
  • C. CMG
    CMG is a post-nominal honorific indicating appointment as a Companion of the Order of St Michael and St George, a British order of chivalry typically awarded for distinguished service in foreign affairs or overseas.
  • D. CMG
    CMG is the vehicle registration code assigned to the town of Mogilno in Poland.
  • E. CMG
    CMG is the stock ticker symbol for Chipotle Mexican Grill, a major American fast-casual restaurant chain known for its burritos and tacos.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadb25108190b7a3d2e8dfc8ae60 completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:31 p.m.