Triple

T14008616
Position Surface form Disambiguated ID Type / Status
Subject Sinovac E337018 entity
Predicate developedVaccineFor P112136 FINISHED
Object H1N1 influenza E14008 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: H1N1 influenza | Statement: [Sinovac, developedVaccineFor, H1N1 influenza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: H1N1 influenza
Context triple: [Sinovac, developedVaccineFor, H1N1 influenza]
  • A. Flu
    Flu is the popular nickname of Fluminense Football Club, a traditional Brazilian football team based in Rio de Janeiro.
  • B. 2009 H1N1 influenza pandemic chosen
    The 2009 H1N1 influenza pandemic was a global outbreak of a novel swine-origin influenza A virus that spread rapidly worldwide, prompting extensive public health responses and international coordination.
  • C. FLU
    FLU is the stock ticker symbol for Flughafen Wien AG, the company that owns and operates Vienna International Airport in Austria.
  • D. Fluzão
    Fluzão is a popular nickname for Fluminense Football Club, one of Brazil’s traditional Rio de Janeiro–based football teams.
  • E. 1918 influenza pandemic
    The 1918 influenza pandemic was a catastrophic global outbreak of H1N1 influenza that infected a third of the world’s population and caused tens of millions of deaths, making it one of the deadliest pandemics in history.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed44f90819099ad08c09c066b56 completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca5fb48819090fff1fd22e8a15c completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.