Triple

T9828951
Position Surface form Disambiguated ID Type / Status
Subject FIUC E238731 entity
Predicate acronym P43 FINISHED
Object FIUC E238731 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: FIUC | Statement: [FIUC, acronym, FIUC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FIUC
Context triple: [FIUC, acronym, FIUC]
  • A. FIUC chosen
    FIUC is the French acronym for the International Federation of Catholic Universities, a global association that brings together Catholic higher education institutions for collaboration in teaching, research, and service.
  • B. FUIW
    FUIW is an international organization that brings together universities and higher education institutions from Islamic countries to promote cooperation in education, science, and culture.
  • C. FAU
    FAU is a major public research university in Bavaria, Germany, known for its strong programs in engineering, sciences, and humanities.
  • D. Florida International University
    Florida International University is a large public research university based in Miami, Florida, known for its diverse student body and strong programs in business, engineering, and international studies.
  • E. FSU
    FSU is a public university in Framingham, Massachusetts, known for its undergraduate and graduate programs in liberal arts, sciences, and professional studies.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3268fcc8190b7a028f224512e5f completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc8ca2808190a1da0641162f12d1 completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:32 p.m.