Triple

T16663696
Position Surface form Disambiguated ID Type / Status
Subject UMM E404923 entity
Predicate abbreviation P43 FINISHED
Object UMM E404923 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: UMM | Statement: [UMM, abbreviation, UMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UMM
Context triple: [UMM, abbreviation, UMM]
  • A. UMM chosen
    UMM is a small public liberal arts college campus of the University of Minnesota system located in Morris, Minnesota.
  • B. UMM
    UMM is a private Islamic university in Malang, Indonesia, affiliated with the Muhammadiyah organization and known for its wide range of academic programs.
  • C. UMMM
    UMMM is the ICAO airport code assigned to Minsk-1 Airport in Minsk, Belarus.
  • D. UUMO
    UUMO is the ICAO airport code assigned to Ostafyevo International Airport near Moscow, Russia.
  • E. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9afd048190b73bbc9c423915ca completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084d091e0819088a98ef4aa775d07 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.