Triple

T9948572
Position Surface form Disambiguated ID Type / Status
Subject School of Continuing Education E195267 entity
Predicate alternativeName P39 FINISHED
Object AUC SCE E195265 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: AUC SCE | Statement: [School of Continuing Education, alternativeName, AUC SCE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AUC SCE
Context triple: [School of Continuing Education, alternativeName, AUC SCE]
  • A. AUC chosen
    AUC is a leading English-language, American-accredited liberal arts university based in Cairo, Egypt, known for its strong programs in the humanities, social sciences, and business.
  • B. AUC
    AUC is a consortium of historically Black colleges and universities in Atlanta, Georgia, including institutions such as Spelman College, Morehouse College, and Clark Atlanta University.
  • C. AOUSC
    AOUSC is the central administrative agency that provides support, policy guidance, and management services to the federal judiciary of the United States.
  • D. SCU
    SCU is the IATA airport code for Antonio Maceo International Airport serving Santiago de Cuba, Cuba.
  • E. SCU
    SCU is the commonly used abbreviation for Sichuan University, a major comprehensive research university located in Chengdu, China.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb659307c81908279adb641ceef86 completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2292b50a881909ff868487639fbfd completed April 5, 2026, 9:19 a.m.
Created at: March 30, 2026, 8:45 p.m.