Triple

T19839756
Position Surface form Disambiguated ID Type / Status
Subject UMAG E476694 entity
Predicate abbreviation P43 FINISHED
Object UMAG 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: UMAG | Statement: [UMAG, abbreviation, UMAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UMAG
Context triple: [UMAG, abbreviation, UMAG]
  • A. UMAG chosen
    UMAG is the commonly used abbreviation for the University of Magallanes, a public Chilean university located in the Magallanes and Chilean Antarctic Region.
  • B. UMa
    UMa is the standard astronomical abbreviation for Ursa Major, a prominent northern constellation best known for containing the Big Dipper asterism.
  • C. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • D. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • E. UM
    UM is a public research university in Oxford, Mississippi, commonly known as "Ole Miss" and recognized for its academic programs and SEC athletics.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65804be608190b49e110c3bf381bc completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:50 p.m.