Triple

T15829362
Position Surface form Disambiguated ID Type / Status
Subject President of UEA E383827 entity
Predicate worksWith P398 FINISHED
Object UEA Central Office E79014 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: UEA Central Office | Statement: [President of UEA, worksWith, UEA Central Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UEA Central Office
Context triple: [President of UEA, worksWith, UEA Central Office]
  • A. UEA chosen
    UEA is the World Esperanto Association, the leading international organization dedicated to promoting and coordinating the global Esperanto movement.
  • B. UEA
    UEA is a public research university in Norwich, England, known for its strengths in environmental sciences, creative writing, and interdisciplinary studies.
  • C. Uea
    Uea is one of the small outlying islets associated with the Polynesian island of Rotuma in Fiji.
  • D. Executive Committee of UEA
    The Executive Committee of UEA is the main governing and decision-making body of the World Esperanto Association, responsible for directing its activities and implementing the policies set by its members.
  • E. University of East Anglia
    The University of East Anglia is a public research university in Norwich, England, renowned for its strengths in environmental sciences, creative writing, and interdisciplinary research.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e62aba8819090978801f4df73fe completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff999f9ccc8190bc859c2b78a16baf completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.