Triple

T13833868
Position Surface form Disambiguated ID Type / Status
Subject College of Engineering and Computer Science E332473 entity
Predicate shortName P43 FINISHED
Object CECS E575869 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: CECS | Statement: [College of Engineering and Computer Science, shortName, CECS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CECS
Context triple: [College of Engineering and Computer Science, shortName, CECS]
  • A. CECS chosen
    CECS is the commonly used abbreviation for the College of Engineering and Computer Science, an academic division focused on engineering and computing disciplines.
  • B. MCECS
    MCECS is the Maseeh College of Engineering and Computer Science, an engineering and computing-focused academic college at Portland State University.
  • C. CEE
    CEE is the IATA airport code for Cherepovets Airport, a regional airport serving the city of Cherepovets in Russia.
  • D. CEE
    The CEE is the Spanish Episcopal Conference, the assembly of Catholic bishops in Spain that coordinates and represents the Church’s activities and positions in the country.
  • E. CEE
    CEE is the abbreviation for the University of Michigan’s Department of Civil and Environmental Engineering, which focuses on education and research in infrastructure, sustainability, and the environment.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de029a34bc8190ae892ef7b09fc9e9 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8efe0948190aaf972cccc2ebc90 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.