Triple

T14920299
Position Surface form Disambiguated ID Type / Status
Subject Maseeh College of Engineering and Computer Science E371491 entity
Predicate shortName P43 FINISHED
Object MCECS E371491 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: MCECS | Statement: [Maseeh College of Engineering and Computer Science, shortName, MCECS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCECS
Context triple: [Maseeh College of Engineering and Computer Science, shortName, MCECS]
  • A. MCECS chosen
    MCECS is the Maseeh College of Engineering and Computer Science, an engineering and computing-focused academic college at Portland State University.
  • B. CECS
    CECS is the commonly used abbreviation for the College of Engineering and Computer Science, an academic division focused on engineering and computing disciplines.
  • C. RCEME
    RCEME is the corps of the Canadian Army responsible for the maintenance, repair, and recovery of military vehicles and equipment.
  • D. CEC
    CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
  • E. CEC
    CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62f76bc81909ebc8899096cd1a0 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c141088190936f2fd53fee80e4 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:33 a.m.