Triple

T14390424
Position Surface form Disambiguated ID Type / Status
Subject United Nations E-Government Survey E356823 entity
Predicate abbreviation P43 FINISHED
Object EPI E18911 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: EPI | Statement: [United Nations E-Government Survey, abbreviation, EPI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EPI
Context triple: [United Nations E-Government Survey, abbreviation, EPI]
  • A. EPI
    EPI is the abbreviation for Exploding Plastic Inevitable, the multimedia performance series created by Andy Warhol that combined live music, film projections, and avant-garde art in the 1960s.
  • B. EPI chosen
    EPI is a global public health initiative led by the World Health Organization that aims to ensure universal access to routine, life-saving vaccinations, particularly for children.
  • C. Epi
    Epi is a volcanic island in central Vanuatu known for its lush landscapes, traditional villages, and surrounding coral reefs.
  • D. Epip
    Epip is a summer month in the Coptic calendar, roughly corresponding to July in the Gregorian calendar.
  • E. EPH
    EPH is the IATA airport code for Ephrata Municipal Airport in Ephrata, Washington, United States.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9029ef048190bdda5ee41618e720 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5517f5e481908fd65177c34f4282 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.